# ATHENAHEALTH COMPETITIVE INTELLIGENCE REPORT
**Generated:** 2026-03-21 17:14 UTC
**Domain:** athenahealth.com
**Pages Analyzed:** 80
**Discovery Method:** Sitemap + Recursive Crawl (auto-discovered, no manual URL lists)

## 🤖 AI FEATURES (798 found)

**1.** athenaOne Solutions Electronic Health Record Make providing personalized care simpler with our AI-native EHR.
**2.** Medical Billing & Practice Management Software Submit cleaner claims faster with less work with AI-native RCM software and services.
**3.** Patient Engagement Improve patient experience with AI-native and self-service tools.
**4.** AI capabilities in athenaOne AI-powered tools that help drive efficiency and performance.
**5.** Similarly, AI-powered tools can analyze clinical documentation in real time, helping physicians meet regulatory requirements without adding extra steps to their workflow.
**6.** With decades of ambulatory care experience and a continuous pipeline of new AI-native capabilities launching this year, our platform evolves alongside real customer needs, ensuring it fits clinical workflows, operational challenges, and patient engagement.
**7.** AI’s greatest strength: Reducing administrative complexity with intelligent automation In healthcare, transactions are needlessly complex.
**8.** Consider ambient AI tools such as our Ambient Notes .
**9.** This created a lasting sense of frustration and a healthy skepticism about new technology claiming to “help.
**10.** AI can alleviate this burden by automating redundant tasks , improving data accuracy, and streamlining workflows.
**11.** Instead of requiring physicians and staff to manually reconcile missing data points or submit endless documentation for reimbursement, AI can analyze records, predict errors, and verify identity and insurance information.
**12.** These are real people doing critical but repetitive work — and AI can help make their jobs faster, more accurate, and less stressful.
**13.** Thanks to deeply integrated AI features, from predictive workflows to agentic revenue cycle tools, these solutions don’t just automate tasks, they transform how care teams collaborate, making every step smarter and more human.
**14.** This shift in outlook comes as more physicians report that AI is helping reduce administrative burden — long one of the main drivers of burnout.
**15.** Instead of forcing doctors to spend their evenings completing progress notes in order to get paid, AI can automate documentation and compliance tracking.
**16.** Read more Christine Davis February 26, 2026 7 min read AI in healthcare 5 ways your EHR should support clinical efficiency If you’re not using these 5 tools, you may not be optimizing clinical efficiency.
**17.** As part of its strategic plan, Clearway Pain Solutions administered these assessments exclusively to new patients, utilizing an automated follow-up schedule to send evaluations every 30 days for the subsequent three years.
**18.** marketplace partner affiliate practice pain management remote patient monitoring More marketplace partner resources Previous marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**19.** 23, 2023 Automated patient intake streamlines virtual care Large multi-state, multi-brand affiliate system Serving patients in 9 states and growing Extensive use of telehealth services Challenges Automatically screen patients for COVID-19 risk factors during intake, before the visit   Solution Clearway used Phreesia to screen patients for COVID-19 risk factors and implement intake for telehealth workflows Results 29,000 patients screened 15,000 telehealth visits conducted "At the beginning of the pandemic, we were really concerned about patients coming in and exposing staff and other patients.
**20.** "   -Verna Brown, Quality and Informatics Manager, Clearway Pain Solutions Automatically screen patients for COVID-19 risk factors during intake, before the visit Clearway Pain Solutions, an integrative pain management practice with more than 30 locations across the U.
**21.** marketplace partner affiliate practice pain management growing my practice More marketplace partner resources Previous marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**22.** Live on athenaOne since 2021 Challenges Lacked a single, centralized referral intake system Difficulty managing growing outreach needs due to manual workflows Unable to verify insurance eligibility without switching systems Struggled to build and maintain relationships with referral partners Solutions athenahealth Marketplace partner: LeadSquared Fully integrated with athenaOne Results Strengthened and accelerated their referral pipeline through a centralized system By streamlining multiple intake channels into a single system that leverages automation to enable staff efficiency and outreach.
**23.** With automation now available, staff built automated templates and workflows that kept referral sources informed on patient status.
**24.** Clearway has even seen their relationship with referral partners strengthen as automated communication workflows allow them to keep their partners updated throughout the process.
**25.** -    Jeannine Spanga, VP of Patient Experience       Clearway Pain Solutions Find solutions to the CRM challenges you’re facing Need a solution that can help you centralize referral intake, standardize outreach, and improve visibility and communication? Explore the athenahealth Marketplace and join other customers who are already transforming their patient interactions and performance with LeadSquared.
**26.** pain management clinical efficiency growing my practice patient communication reducing admin burden marketplace solutions More pain management resources Previous marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more Julie Valentine July 31, 2025 6 min read pain management Why pain management practices are doubling down on ASCs Pain management is one of the fastest growing ASC specialties.
**27.** Read more clinical efficiency Pain practices streamline workflows to reduce administrative workload Read more marketplace partner Phreesia helps pain management practice speed up intake to optimize efficiency Read more marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more Julie Valentine July 31, 2025 6 min read pain management Why pain management practices are doubling down on ASCs Pain management is one of the fastest growing ASC specialties.
**28.** Read more clinical efficiency Pain practices streamline workflows to reduce administrative workload Read more marketplace partner Phreesia helps pain management practice speed up intake to optimize efficiency Read more marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**29.** We at athenahealth were excited to share our work curing complexity in healthcare with new workflows leveraging artificial intelligence and new innovations highlighting our commitment to a thriving, open ecosystem.
**30.** We recently announced a new athenahealth Marketplace Partner, Abridge, who joins Suki AI and iScribe as top vendors for our Ambient Notes AI-powered solution that automates clinician documentation directly into the patient’s electronic health record and during the clinician workflow.
**31.** AI-powered listening and scribe solutions like Ambient Notes are helping clinicians improve their Same Day Encounter Closure Rates while removing the administrative burden of documenting the clinical note.
**32.** Real examples of ambient AI technology changing clinicians’ lives HIMSS participants visiting our interactive booth could see the machine learning, natural language processing, ambient listening, and generative AI capabilities of Ambient Notes, but I was especially excited to welcome Dr.
**33.** If 2024 was the year AI (and particularly generative AI) gained significant attention in the healthcare industry, then 2025 has brought tangible applications, and, most importantly, real-world benefits utilizing AI to simplify healthcare common workflows.
**34.** Among the top challenges clinicians face is documentation burden, which is why ambient listening and AI scribe capabilities have rapidly taken off in the past year.
**35.** Janelle Smith of Springfield Clinic to the Expo Hall Main Stage session to share how transformative athenahealth’s Ambient Notes has been to her practice.
**36.** Following the session, I had a chance to talk with MobiHealthNews about the enhanced user experience athenahealth provides by embedding Ambient Notes directly into the athenaOne workflow.
**37.** If 2024 was the year AI (and particularly generative AI) gained significant attention in the healthcare industry, then 2025 has brought tangible applications, discussions around ROI, and, most importantly, real-world benefits of healthcare AI software.
**38.** Snowflake: We’re collaborating with Snowflake to roll out solutions aimed at improving operational efficiencies, including agentic AI capabilities that promise to further reduce administrative burden and help triage patient needs.
**39.** " This rapid deployment, facilitated by the network of state registries athenahealth builds and maintains connections to, allowed providers to focus on patient care rather than technical integrations, shifting the mentality, in Storey's words, from "Is it on? This is slow," to "Let's optimize every click that you make.
**40.** Read more athenahealth November 13, 2024 PI & meaningful use The 3 stages of Meaningful Use in healthcare Each level aims to help expand EHR’s for providers to supply better outcomes to patients Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**41.** 2 You’ll find a variety of third-party apps across 50 digital health capabilities and 60 specialties, including AI-powered resources that integrate directly with athenaOne — eliminating the need for custom APIs.
**42.** Key Features: Bi-directional AI-driven patient engagement AI appointment scheduling and reminders Digital intake and consent workflows EHR integration and interoperability Digital front door and telehealth add-ons Who might consider Healthtalk A.
**43.** Take the next step in elevating human expertise through intelligent collaboration As artificial intelligence technology keeps evolving in healthcare, we expect to see even more advanced AI solutions in our Marketplace.
**44.** Beyond assistants: What makes agentic AI different Unlike traditional rules-based automation like phone tree menus, agentic AI in healthcare operates more autonomously.
**45.** Predictive Analytics: Forecast outcomes and identify trends, such as the spread of viruses like flu and RSV, along with treatment effectiveness, to support better decision-making.
**46.** These intelligent systems serve various functions, including: Chatbots & Virtual Assistants: Engage patients in conversations to manage inquiries, schedule appointments, and send reminders, providing immediate support when they need it.
**47.** SOAP Health SOAP Health is more than just a note-taking app; it’s an intelligent clinical assistant designed to simplify documentation and improve communication between providers and patients.
**48.** Assort Health Generative Voice AI Assort Health offers voice AI agents to autonomously manage patient interactions such as scheduling, triage, and answering FAQs.
**49.** Key Features: 24/7 appointment scheduling and management Automated call triage and FAQ handling Patient case creation and data collection SMS reminders and proactive notifications Prescription refill management Who might consider Assort Health Generative Voice AI: Hospitals, clinics, and specialty practices looking for a more useful way to manage patient interactions, especially for large outpatient groups and health systems with high call volumes.
**50.** Agentic AI represents a shift from tools that support decisions to systems that can help carry them out.
**51.** AI Assistants: Analyze patient data to suggest potential patterns, helping clinicians make informed decisions.
**52.** Here are a few innovative AI-enabled solutions available in our Marketplace, each offering unique capabilities to meet your diverse clinical needs.
**53.** What it does: Using conversational AI, SOAP Health automates clinical notes, engages patients to gather structured data, provides advanced diagnostic support, and delivers real-time risk assessments.
**54.** Key features: Conversational AI for automated documentation Advanced diagnostic support Real-time risk assessments Automated annual wellness visits Pre-completed, editable SOAP notes Built-in regulatory compliance Specialty-specific documentation support Who might consider SOAP Health: Healthcare providers and systems seeking to simplify documentation, enhance team collaboration, and reduce time spent on clinical notes without compromising quality or compliance.
**55.** By automating processes and providing AI-assisted suggestions, it reduces time per visit and allows clinicians to focus more on providing better care.
**56.** Key features: AI decision support AI nurse copilot Adaptive patient intake with dynamic Q&A Autonomous workflow execution AI telehealth Multilingual and specialty-aware functionality Who might consider DeepCura AI Agent: Health systems looking to automate workflows, enhance efficiency, and reduce staff burnout, including primary care clinics, specialists with complex intake needs, and large practices aiming to streamline documentation and maintain compliance.
**57.** Decision-making: AI systems assist with data analysis and decision-making, but they are not meant to replace clinical judgment.
**58.** Our vision for the AI-native athenaOne is a reimagined user experience that will change the way you deliver care, manage revenue, and engage with patients by delivering innovation directly into your existing workflows.
**59.** athenaAmbient is part of our reimagined AI-native encounter workflow that will help anticipate clinician needs, surface insights, and streamline documentation based on the provider-patient conversation.
**60.** An AI-native EHR that’s a true partner Achieve better patient outcomes while reducing cognitive and administrative burdens with an AI-powered EHR that works with you and for you.
**61.** Embedded AI-powered workflows will simplify communication across the patient journey, support reducing gaps, and strengthen connections.
**62.** Make care easier for patients and your team An upcoming AI-powered assistant will simplify access to care by interpreting patient requests in the online portal, guiding them to the right resources, and providing personalized support based on their records.
**63.** Automate insurance selection Identify and document patient insurance coverage with AI-powered automation that uses card images to reduce documentation time and denials.
**64.** AI-powered coding relief Ensure you’re correctly billing while reducing work.
**65.** Read more Next Dig deeper into our technology and insights Our AI-powered solution athenaOne’s embedded AI helps improve performance.
**66.** Our intelligent model will infuse innovative automation and AI throughout your workflows, helping to ensure optimal reimbursement and new levels of transparency.
**67.** Introducing athenaAmbient™ Coming in 2026 Our new, native ambient digital scribe will provide automated note generation, and other real-time insights.
**68.** Documentation relief with AI Ambient Notes enhances the visit experience and reduces clinical documentation work.
**69.** Explore Ambient Notes Automate document processing Soon, AI will save time by extracting clinical data from incoming faxes and saving it to the chart as discrete data points that can help identify trends.
**70.** AI in healthcare 1 min watch Why Privia Health Chose athenahealth’s Ambient Notes Read more athenahealth August 08, 2025 5 min read AI in healthcare AI in healthcare, seven years later: where are we now? Has AI in healthcare lived up to its promise? Diagnostics have lagged, but operations are more efficient.
**71.** So, what’s next? We’ll use AI to find new ways to deliver value and help improve care for you and your patients.
**72.** Designed the way physicians and care teams work, our AI technology meets you where you are, helping make care more personal.
**73.** AI chat-based assistant Get real-time clinical answers.
**74.** Our AI assistant will search across patient records and documents to simplify patient data retrieval and improve your results.
**75.** AI assisted communication Reduce phone tag and call volume with Patient Conversations, which enables two-way texting between practice staff and patients.
**76.** An AI assistant will manage inbound texts and calls to answer routine questions, handle common requests, and triage to your team as needed.
**77.** When an appointment is canceled, AI will automatically identify and contact patients to fill the open slot, even on the same day.
**78.** Make claim follow-ups count Accelerate claims collection and save staff time with AI that analyzes payer processing trends to identify the optimal time to follow up.
**79.** Eliminate copay guesswork Streamline front desk collections and patient satisfaction with AI support that will provide your staff with accurate copay predictions.
**80.** AI in athenaOne will help generate accurate claims with suggested codes and modifiers from the encounter.
**81.** AI capabilities are automatically installed, clearly identified, and available to all.
**82.** When generative AI first entered the clinical conversation, skepticism was appropriate, as physicians questioned whether it would relieve work or add to it.
**83.** Ambient documentation shifted that dynamic.
**84.** AI can be helpful when it is introduced thoughtfully and responsibly within clinical workflows.
**85.** When comprehensive data sets are inaccessible, new AI tools, and predictive analytics platforms, and patient engagement solutions deliver suboptimal results that reinforce existing limitations.
**86.** As Ketchie explains, “Getting that complete picture of each patient helps us take care of them better.
**87.** Advancements in artificial intelligence can strengthen doctor-patient relationships by reducing time spent on admin work, notetaking, and claim resolution .
**88.** Building an AI-native intelligence layer on top of the foundational data background driving an EHR spearheads moving toward a truly AI-native electronic health record (EHR).
**89.** This AI-native EHR operates as a single, intelligent system that helps practices tap into the true potential of AI in healthcare to lessen cognitive burden and most importantly, improve patient and practice health.
**90.** Let’s take a closer look at how AI-native EHRs can help transform the state of healthcare today, including where AI fits in the broader ecosystem.
**91.** By integrating an AI-native EHR and automation into daily workflows and patient encounters, physicians can spend more focused one-on-one time with their patients, strengthening the relationships and delivering better care.
**92.** With an AI-native EHR that proactively works off one of the most comprehensive datasets in healthcare, that potential expands exponentially.
**93.** By delivering patient-centric insights that help enhance clinical decision-making and streamline care coordination, AI-native EHRs have the potential to transform patient engagement to help improve outcomes while also streamlining workflows to reduce administrative burden and bolster revenue cycles.
**94.** How an AI-native EHR works across different workflows 1.
**95.** Diagnosis and early detection What if you’re heading up a healthcare organization that specializes in cancer detection and genetic testing, and you want to improve accuracy of patient diagnoses? A holistic, integrated AI-native EHR can scan high volumes of unstructured data sets like MRIs and CT scans to help identify patterns and anomalies.
**96.** Other embedded tools in AI-native EHRs can retrieve and curate documentation from across the healthcare ecosystem.
**97.** Your enterprise healthcare organization can leverage AI-native EHRs to create automated, personalized patient outreach in your patient portal.
**98.** Plus, AI-native EHRs can analyze patterns such as patient no-shows and peak visit times, providing clinicians with insights to better tailor patient outreach and address care gaps.
**99.** The automative capabilities of an AI-native EHR can help reduce time spent on manual inputs.
**100.** AI-powered solutions clinicians can use during patient encounters Let’s say that you’re the CEO of a privately-owned clinic for obstetrics and gynecology .
**101.** Harnessing AI-native EHR capabilities for more personal patient encounters Instances of AI technology in healthcare are developing rapidly, but the opportunity to address the current pain points of the healthcare industry is one that the healthcare industry can’t afford to pass up.
**102.** But what if technology – including AI agents – could help reduce some of this burden? What if automation and intuitive machine learning could take administrative work off physicians’ plates, allowing them more time in their day and focus on patient care, instead of documentation and administration? The answer? The right technology already is.
**103.** How does this work? AI and machine learning help reduce work on time-consuming administrative tasks like notetaking and updating medical history, and increase regular communication with patients via personalized, automated messages from their physician to help them on their health journey.
**104.** Early detection to help diagnose cancer and other diseases from MRIs and CT scans analyzed across larger data sets for greater accuracy and predictive capabilities 6 These and other examples help illustrate just how much possibility lies in incorporating AI and automation into physicians’ daily workflows.
**105.** AI and machine learning automatically match patients on waitlists to open time slots – sending real-time text notifications when appointments become available and update the practice schedule accordingly.
**106.** Starting with the automation, predictive analytics, natural language processing and machine learning AI tools already built into athenaOne can help your healthcare organization ease into integrating AI into your healthcare tech, while also seeing big benefits.
**107.** Learn more about athenaOne, AI, and automation .
**108.** For example, you can convert patient encounters into clinician notes and updated medical history via AI voice-to-text and ambient listening while new generative and agentic AI capabilities are making this process and others even more hands-free, intuitive, and time-saving.
**109.** 8 But what other advantages have hospitals and physicians seen after implementing this new technology? To name a few: Reduced time spent documenting patient encounters Increased efficiency during patient interactions so clinicians can spend more time with patients Quicker, more accurate patient diagnoses Personalized outreach and treatment plans for patients Real-time patient data monitoring 9 In addition, learning algorithms allow generative AI to become more advanced and accurate over time with human interaction to help train them.
**110.** However, it’s important to be mindful of a few considerations: generative AI requires some level of human involvement in order to learn and improve, so resources should be allocated to help monitor and train the technology.
**111.** Two-way chatbots, generative AI and AI agents can generate tailored messages, including follow-ups and personalized treatment plans, allowing patients to communicate more often with and feel more connected to your organization.
**112.** For instance, physicians can now dictate a patient’s medical history, symptoms, and health plan and natural language processing and generative AI can create accurate clinical notes in real time.
**113.** Ambient listening technology can record the full patient encounter and create AI-generated notes and billing codes for physician review, then placement directly into the patient chart.
**114.** With athenahealth’s Ambient Notes , physicians can choose from several generative AI models to match their notetaking style and specialized needs.
**115.** New technology is helping solve the right problems with AI Many physicians believe that AI has the potential to help solve this burnout epidemic in the U.
**116.** Over a quarter (26%) of physicians surveyed think AI may help to reduce physician burnout.
**117.** 2 And research shows that their patients think the same—according to a separate survey fielded by Dynata, more than half of patients surveyed believe AI will be part of the solution in healthcare, and 42% believe AI can help improve patient health outcomes.
**118.** So, now that we’ve examined the practical uses and benefits, let’s look at how AI in healthcare helps boost clinical efficiency so your healthcare organization can focus on patient encounters.
**119.** So, your ob-gyn clinic decides to implement new AI technology that would help automate these clinician notetaking tasks during daily patient encounters.
**120.** And physicians can also toggle on and off native-AI capabilities to tailor how they want to work with the AI-assistant that automates routine tasks, delivers personalized insights, and helps enable more patient-centered care.
**121.** Physicians can help educate patients on the benefits of AI and how it’s being used to enhance their care, helping patients feel more informed and comfortable with this technology.
**122.** Technology and AI , from machine learning to deep learning to generative AI, have shown the potential to deliver value to clinicians by automating routine tasks, streamlining critical workflows, and relieving the administrative burden.
**123.** We will start to see efficiencies in patient communications as well, with this latest generation of AI (generative AI) creating first drafts of responses to some patient questions, which care teams can then edit and send.
**124.** And most technology companies — athenahealth included — are working hard on tools like ambient listening , so the bulk of documentation work is automatically done for the clinician as they talk to the patient.
**125.** How AI can help address the causes of physician burnout The PSS found that when it comes to AI, 60% of physicians are concerned about the loss of human touch in healthcare.
**126.** Can AI create a more optimistic future for healthcare? Physician attitudes for the integration of AI in healthcare vary widely .
**127.** 21% of survey respondents said they are pessimistic about the future of AI in healthcare, 39% were optimistic, and another 41% aren’t yet sure.
**128.** 6 Those AI optimists see other things to be hopeful about, too: they’re more confident that healthcare is heading in the right direction, and they’re more confident that they have the tools they need to focus on patient care.
**129.** The AI-native athenaOne platform operates as a single, intelligent system across tens of thousands of practices, learning continuously from every transaction in the network.
**130.** Clinical decision support and diagnostics AI-powered decision support systems can assist healthcare professionals in using data to make more accurate diagnoses and treatment recommendations.
**131.** 2 Looking ahead, the athenaOne AI-native EHR is poised to support clinical decision-making by delivering real-time recommendations, insights, alerts, and summaries to help identify diagnosis and care gaps.
**132.** Population health management Artificial intelligence in healthcare can also play a pivotal role in population health management by analyzing large datasets to identify risk factors, predict disease trends, and develop targeted interventions.
**133.** Additionally, AI-powered remote monitoring and telehealth could facilitate preventive care and chronic disease management, helping reduce the burden on healthcare facilities and improving overall population health.
**134.** Medical imaging and radiology AI-powered image analysis and computer vision technologies can start to assist radiologists in interpreting medical images more accurately and efficiently.
**135.** athenaOne's AI-powered ambient listening technology can help reduce documentation time normally spent on clinician notetaking and medical history, boost productivity, and create new efficiencies during patient encounters.
**136.** By integrating AI scribe voice dictation services into day-to-day workflows, athenahealth’s AI-native EHR helps clinicians achieve increased efficiency during patient encounters, while also focusing more on being present and providing care.
**137.** Then, consider how an AI-native EHR like athenaOne— which applies AI where it counts , surfacing insights and automating tasks—could save your team time and allow you to focus on patient care.
**138.** Machine learning algorithms can analyze vast amounts of raw patient data, medical literature, and clinical guidelines to identify patterns and provide evidence-based suggestions.
**139.** Intelligent workflow automation Enterprise healthcare organizations and smaller independent medical practices alike often struggle with inefficient workflows and administrative burdens , which can lead to delays, errors, and increased costs.
**140.** Robotic process automation (RPA) and natural language processing (NLP) technologies can also be employed to handle these tasks more efficiently, freeing up valuable time for healthcare professionals to focus on patient care.
**141.** Predictive analytics can help organizations anticipate staffing needs, manage inventory levels, and optimize facility layouts, which may lead to cost savings in the long run.
**142.** "By looking to new technology like AI and automation to help reduce administrative burdens and shorten documentation times, physicians can get time back in their day to focus on patient care and attracting new patients.
**143.** " By looking to new technology like AI and automation to help reduce administrative burdens and shorten documentation times, physicians can get time back in their day to focus on patient care and attracting new patients.
**144.** 4 Some machine learning models are beginning to stratify patient populations based on health risks, enabling healthcare organizations to design personalized care plans and allocate resources more effectively.
**145.** 5 In this form of AI for medical diagnosis, machine learning algorithms help detect subtle patterns and anomalies in images, providing an additional aid in the early detection of diseases and reducing the risk of missed diagnoses.
**146.** Here are six potential opportunities to consider as your medical practice or healthcare system continues to leverage AI in your EHR, and how athenahealth might help support them, now and in the future.
**147.** This application of AI for medical diagnosis has the potential to not only improve diagnostic accuracy but also assist physicians in catching health issues earlier.
**148.** AI EHRs may help streamline these processes by automating repetitive tasks, such as appointment scheduling, medical coding, and data entry.
**149.** 3 New AI technology has the power to assist in optimizing resource utilization by analyzing historical data, forecasting demand, and identifying potential bottlenecks or underutilized areas.
**150.** A “virtual front desk,” as an example of AI patient engagement, could automatically message patients to fill appointment slots as they come open.
**151.** Additionally, AI can potentially help streamline workflows in radiology departments by automating tasks such as image preprocessing, prioritization, and reporting.
**152.** Embracing the benefits of AI in healthcare Virtually all medical practices in the US—from enterprise scale healthcare organizations to small independent practices—can leverage AI EHRs to help drive efficiencies, improve patient outcomes, and stay competitive in an increasingly digital healthcare landscape.
**153.** In 2018, the company launched an AI-driven approach to transform the manual, analog fax process into a streamlined digital workflow.
**154.** By combining machine learning, cloud computing, and seamless EHR integration, athenahealth’s solution became the industry’s first scalable, AI-powered fax management system.
**155.** Over the past seven years, this AI-powered document services innovation has evolved across the athenaOne® network, delivering: AI-assisted data extraction – Machine learning scans incoming faxes, identifies critical document details and can automatically put the document in the right patient’s chart and assign it to the right user for review.
**156.** Other AI-powered innovations working more quietly in the background of the healthcare IT stack may be the biggest gamechangers, even if they don’t have as much hype.
**157.** Agentic AI , a form of artificial intelligence capable of autonomous decision-making and task execution, has the potential to further reduce clinical administrative burden.
**158.** But today it can help doctors,” said Girish Venkatachaliah, former VP of Watson Machine Learning and then vice president of data strategy, analytics and machine learning at athenahealth.
**159.** Seven years of AI innovation: How athenahealth revolutionized fax workflows with machine learning In 2018, long before the current wave of AI hype, athenahealth recognized healthcare’s greatest challenge wasn’t a lack of clinical expertise; it was inefficiency.
**160.** Lower clinician burnout – By reducing tedious administrative work, AI frees providers to focus on patient care, helping to combat the burnout linked to time-consuming documentation Today, athenahealth continues to build on this foundation of AI innovation with smarter automation, more structured data transformation, and seamless cloud faxing via integrating eFax Corporate Cloud Solutions directly into the athenaOne platform.
**161.** Revenue cycle optimization : Machine learning is widely used in claims scrubbing, coding support, and denial prediction.
**162.** The healthcare AI development journey: Real progress, grounded expectations At athenahealth, we’ve seen the potential of AI since rolling out machine learning solutions for fax processing back in 2018.
**163.** Error reduction & data integrity – Automated processing leads to fewer mistakes, improving the quality of records and analytics.
**164.** Where AI has delivered in the healthcare industry AI has quietly become indispensable for small practices and large healthcare organizations alike in these areas: Administrative efficiency: AI-assisted fax routing , prior authorization prediction, and ambient documentation tools save clinicians minutes per task—which adds up to hours per week.
**165.** What’s changed in healthcare AI since 2018: Generative AI is the headline, but not the whole story Since 2023, generative AI tools like GPT-4 and Med-PaLM have sparked a new wave of optimism about AI’s possibilities in healthcare.
**166.** Health systems are piloting these tools for ambient notetaking, patient communication, denials management, and task triage.
**167.** athenahealth’s Ambient Notes , for example, uses generative AI technology and ambient listening to record patient visits and create a clinical note summary, leaving clinicians free to focus on patients .
**168.** Still, trust , transparency, and regulation remain major hurdles for generative AI.
**169.** Generative AI enhances healthcare interoperability by intelligently summarizing, standardizing, and structuring vast amounts of clinical data from disparate sources, making it easily comprehensible and usable for clinicians.
**170.** As the ecosystem matures, AI is beginning to live up to its potential: reading test results, flagging high-risk patterns across specialties, and helping clinicians spot risks sooner.
**171.** Larger AI implementation has helped relieve some of the administrative drag that pulls clinicians away from care.
**172.** Continued AI optimization and maturation is unlocking even more clinical possibilities.
**173.** It hasn’t cured cancer, but AI may yet help fix healthcare.
**174.** In the near future, AI-native athenaOne® will include an AI-enabled, two-way texting tool called Patient Conversations.
**175.** Perform outreach campaigns to help strengthen the patient-practice relationship and improve patient satisfaction It’s not enough to only communicate with patients when they’re in your office.
**176.** Automated appointment reminders via text message or email are a great way to help reduce no-shows with no additional administrative work required by your team.
**177.** Care gap outreach campaigns also offer the opportunity to engage with patients to help close gaps in care , like annual wellness visits, immunizations, cancer screenings, and more.
**178.** These campaigns not only help you take better care of your patients by getting them the care they need, but in doing so, they can also help you succeed in any VBC contracts that require care gap closure or measure clinical outcomes.
**179.** athenaOne will ultimately feature a Waitlist Scheduling tool that can automatically identify and message patients to help fill open schedule appointment slots—including for same-day cancellations.
**180.** Learn how personalized outreach and AI tools can help your practice close care gaps and boost quality scores.
**181.** 1M in cost care savings in 2024, a 12x YoY improvement from 2023 Read more closing care gaps A foundation to build on 15% of appointments made online, saving time for patients and staff 12,000 care gaps closed in a 6-week campaign that saved 125 days of work Read more closing care gaps Data visibility helps population health practice grow value-based care programs 50% reduction in effort managing quality data 4 care gaps on track to receive 5 stars Read more Downloadable closing care gaps Closing care gaps with AI: A practical guide for medical practices Discover proven strategies to improve patient outcomes, reduce no-shows, and succeed in value-based care.
**182.** 1M in cost care savings in 2024, a 12x YoY improvement from 2023 Read more closing care gaps A foundation to build on 15% of appointments made online, saving time for patients and staff 12,000 care gaps closed in a 6-week campaign that saved 125 days of work Read more closing care gaps Data visibility helps population health practice grow value-based care programs 50% reduction in effort managing quality data 4 care gaps on track to receive 5 stars Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**183.** These results shed light on the significant role that Artificial Intelligence (AI), including Machine Learning (ML), is expected to play – and is already playing – in the healthcare industry.
**184.** Machine learning, natural language processing, computer vision, and sophisticated models are several types of artificial intelligence that power athenaOne and enable our providers nationwide.
**185.** Additionally, athenaOne providers can further customize their software with AI-powered apps found in our marketplace , including many that add generative AI capabilities to your clinical documentation and patient communication workflows.
**186.** Key advantages of machine learning, predictive analytics, natural language processing and generative AI identified by physicians include: Identifying Patterns in Patient Data: 42% of physicians believe AI could help uncover insights that might otherwise be missed.
**187.** Tools that were not available a year ago are now entering the market, such as AI medical scribes and generative AI clinical notes to assist with documentation, prior authorizations, claims management, and patient communication.
**188.** We are introducing Ambient Notes to simplify clinical note documentation and improve the visit experience for both providers and patients.
**189.** Powered by ambient listening and generative AI technology, Ambient Notes allows clinicians to easily record patient visit conversations, automate visit note generation, and seamlessly place it in the patient encounter.
**190.** Embedded in the athenaOne Mobile clinical workflow, clinicians can choose from industry-leading ambient models aligned with their documentation style preferences and specialty-specific workflows, while maintaining a consistent user experience.
**191.** We also offer Voice Solutions from within desktop and the athenaOne mobile app, including voice-to-text medical dictation capability, as well as a mobile-native Voice Assistant that uses natural language processing to enter physician notes into the EHR and save valuable time.
**192.** Physicians were asked about their perceptions of several types of AI in healthcare, and whether they felt optimistic or pessimistic about their uses.
**193.** We have analyzed physician sentiment about AI across several vectors, including age, ethnicity, and gender, and looked at the differing views about healthcare challenges between those who are AI optimists and AI pessimists.
**194.** AI in Healthcare pros and cons Despite the optimism about how doctors could use AI, many physicians at the end of 2023 harbored reservations about the integration of AI into their practice.
**195.** If patients turn to chatbots outside of a clinical setting for medical advice rather than checking in with their physician, for example, or AI suggests a diagnosis rather than analyzing patterns in medical data for a physician to review, these negative AI concerns could be magnified.
**196.** Effective guardrails need to be in place to help mitigate these possibilities.
**197.** AI tools can access and analyze larger sets of data and compute more quickly.
**198.** Breakout analysis of physicians who are AI optimists According to this 2023-24 survey, physicians who view AI positively tend to feel more hopeful about the future of healthcare.
**199.** For instance, 37% of AI optimists feel the field is heading in the right direction, compared to just 24% of AI pessimists.
**200.** Moreover, AI optimists exhibit a greater belief in technology’s role in improving their practice.
**201.** Introducing Ambient Notes and other new products and capabilities As technology continues to evolve, athenahealth leads the way in leveraging the latest innovations, including AI, to solve clinicians’ problems and deliver outcomes that help practices truly thrive.
**202.** This year on the mainstage, our chief product officer Paul Brient announced exciting new and upcoming capabilities, including Ambient Notes , a solution that brings the power of ambient listening and generative AI technology directly into athenaOne.
**203.** Ambient Notes will offer practices a new level of convenience, flexibility, and personalization, as practices will be able to choose and switch between industry-leading models, starting with Suki AI and iScribe AI.
**204.** We’ve recently begun to highlight some of these investment areas and features on LinkedIn , sharing how AI can address a variety of administrative burdens – for instance, automating the collection of insurance information to take that task off a staff member’s plate and reduce downstream denials due to errors.
**205.** athenaIDX is centered on exception-based workflows supported by automation and integrated artificial intelligence.
**206.** It uses low-touch workflows, intelligent automation, clearinghouse technology, and interoperability to help simplify complexity and drive performance at every step of the revenue cycle.
**207.** It accomplishes this by minimizing manual intervention wherever possible, leveraging automation and AI to enhance accuracy and speed, and embedding best-practice workflows into your daily operations.
**208.** Intelligent automation built for multi-site complexity Organizations that reconcile and document encounters across multiple care sites know that the increase in data quantity isn’t the problem.
**209.** Census uses intelligent automation and real-time quality assessments to proactively surface exceptions and missing information, so staff can resolve them before coding begins.
**210.** Combining athenaEDI’s technology with athenaIDX’s automation and low-touch revenue cycle workflows helps simplify complex tasks, improving operational efficiency and keeping cost-to-collect rates low.
**211.** athenaIDX brings together healthcare billing automation and AI that streamline workflows, intelligent multi-site data handling that improves accuracy, integrated clearinghouse technology that relieves repetitive work, and enterprise interoperability to reduce manual handoffs, surface issues earlier, and maintain visibility and control across the revenue cycle.
**212.** Intelligent, agent-driven tasking workflows allow athenaIDX to optimize processes across your revenue cycle.
**213.** Using athenaIDX™ can help hospitals, large organizations, and even “payviders” improve data accuracy, stay ahead of compliance issues, and relieve administrative burden — freeing time and resources to focus on improving the bottom line.
**214.** athenaIDX helps transform your revenue cycle by enabling you to make data-driven decisions, increase staff productivity, address burnout, and improve cash flow and collections.
**215.** So what is athenaIDX, and how does it help support your revenue cycle? What is athenaIDX? athenaIDX is comprehensive enterprise RCM software that helps enhance margins by reducing costs while improving revenue across all care settings and specialties.
**216.** How athenaIDX supports the entire revenue cycle athenaIDX is built to help healthcare organizations eliminate financial performance barriers.
**217.** Here’s how athenaIDX helps ensure optimal reimbursement while lowering your cost to collect across your revenue cycle: Strong pre-service capabilities – Before any encounter is scheduled, athenaIDX (using embedded athenaEDI technology) automatically verifies patient eligibility and insurance assignment, reducing staff workload while improving accuracy.
**218.** athenaEDI Advanced Claim Status – athenaEDI offers built-in monitoring that inspects and pursues claim updates to help track and eliminate lost claims and manual intervention.
**219.** Whether your organization is using a fee-for-service, value-based care , or hybrid payment model, athenaIDX is built to navigate them all, helping ensure your financial performance is optimized.
**220.** athenaIDX was designed to be flexible and optimize revenue cycle performance across a diverse range of operational and healthcare entity models, including hospitals, business process outsourcing (BPO) organizations, complex multi-specialty organizations, and payviders.
**221.** With athenaIDX, your organization can transform its financial performance with enterprise-wide workflows that maintain critical connections and enable staff to coordinate care easily.
**222.** Even the most specialized practices and rapidly growing businesses can leverage athenaIDX’s tools and services to help cure complexity.
**223.** Read more practice management Enhancing revenue cycle efficiencies and helping reduce denials 28% Reduction in days in AR 48% Decrease in claim lag days 90% Clean claim rate Read more data & interoperability Unlocking insights: Automated reporting delivery drives 40% greater efficiency 40% increase in reporting efficiency 100 hours of manual work eliminated per month Read more collecting patient pay SIU Medicine Revamps Patient Payment Collection with athenaEDI™ Text to Pay 58% of total collections received within 14 days 167% growth in patient revenue MoM Read more Siva Nandivada February 27, 2026 5 min read RCM How AI is solving enterprise revenue cycle complexity Enterprise billing faces rising denial complexity.
**224.** Read more practice management Enhancing revenue cycle efficiencies and helping reduce denials 28% Reduction in days in AR 48% Decrease in claim lag days 90% Clean claim rate Read more data & interoperability Unlocking insights: Automated reporting delivery drives 40% greater efficiency 40% increase in reporting efficiency 100 hours of manual work eliminated per month Read more collecting patient pay SIU Medicine Revamps Patient Payment Collection with athenaEDI™ Text to Pay 58% of total collections received within 14 days 167% growth in patient revenue MoM Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**225.** Because of advances in fields including machine learning, AI and blockchain, it seems prior authorizations are a prime administrative burden to target, Gilfillan says.
**226.** Process Improvements & Automation Pay Off “Healthcare providers don't have the time and resources to do all of these prior authorizations themselves," says Iliana Peters, shareholder at Polsinelli PC in Washington, D.
**227.** 9% authorizations to completion 60% time spent on authorizations Read more prior authorization Orthopedic clinic streamlines prior authorizations to boost financial success 4 staff refocused on high-value work 1 staff dedicated to authorizations 5 day wait times, reduced from 6-8 weeks Read more prior authorization Efficient authorizations enhance patient experience Read more prior authorization Orthopedic practice turns to automation to drive efficiency with less overhead 99.
**228.** 1 Building on a decade of AI research and significant R&D investments, our vision for a fully AI-native helps streamline clinical workflows and reduce the administrative burden from RCM-related tasks by 50-70% percent – while improving speed, accuracy, and transparency of every financial process — from faster claims resolution to smarter payer yield management.
**229.** The AI-native athenaOne EHR combines a true SaaS architecture with network-wide learning.
**230.** Here are five ways athenahealth’s current AI integrations and, ultimately, fully AI-native EHR can reduce administrative burden and enhance RCM – from solo start-ups to large enterprise organizations.
**231.** Integrated directly into athenaOne® , AI-powered insurance selection processes a picture of the patient's insurance card through a machine learning model that analyzes the image, extracts information from the card, and pairs it with patient data to recommend the correct insurance.
**232.** Practices using the AI-powered Automated Insurance Selection workflow saw a 7.
**233.** 6 AI-powered tools help identify potential claim issues in real time, allowing staff to correct errors before submission.
**234.** From claim creation to resolution, the capabilities within a fully AI-native EHR help practices maximize revenue cycle management and get the full amount of what they are owed.
**235.** The athenaOne AI-native platform will help determine when a prior authorization is required.
**236.** Streamlining clinical documentation with ambient listening technology  athenahealth's Ambient Notes is an AI-powered feature embedded within athenaOne Mobile that simplifies clinical documentation by recording patient visits and using generative AI to create comprehensive note summaries, which are then seamlessly integrated into patient records.
**237.** Learn more about how athenahealth is continuing to drive AI innovation in healthcare and explore more about plans for a fully AI-native athenaOne .
**238.** And, after claims have been submitted, machine learning models automatically suggest when to follow up with different payers based on patterns learned from prior claim history.
**239.** In addition to the AI and automation capabilities within the software, athenahealth partners with practices to take on the burden of working claims denials.
**240.** This automation allows clinicians to focus more on patient care during encounters, enhancing the overall experience for both providers and patients.
**241.** These tools turn the prior authorization process into an intelligent, exception-based workflow that identifies the orders that require authorizations, so staff can focus their attention where it’s needed.
**242.** athenaOne customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 7.
**243.** Using ambient AI technology in athenaOne, one orthopedic practice saw a 40% reduction in documentation time.
**244.** 13 With multiple ambient models available, individual clinicians can select the one that best aligns with their specialty and documentation style, ensuring flexibility and personalization, rather than a one-size-fits-all solution.
**245.** Explore Ambient Notes Using AI in healthcare tech to help clinicians and improve outcomes athenahealth's AI innovations are revolutionizing how healthcare practices manage their revenue cycles .
**246.** That means every payer update, every clean claim, and every denial resolution strengthens the platform for all customers in real time – helping all parties move closer to desired outcomes throughout each phase of revenue cycle management.
**247.** Tina Kelley, Director of Operations at Mountain View Medical Center, notes that automating insurance selection with this tool has reduced the administrative time spent on manually entering patient insurance information.
**248.** In 2023, athenahealth began investing in additional automative capabilities with an Auto Claim Create feature that generates claims automatically after a patient encounter.
**249.** Creating claims automatically can be especially helpful with high volume, repetitive claims, such as those during flu season or child wellness visits.
**250.** The Auto Claim Create feature can help reduce charge entry lag and the time it takes to submit claims to insurance.
**251.** This vast dataset also helps enable smarter decision-making, classifying claim denials and predicting the likelihood of approval upon resubmission or appeal.
**252.** By scrubbing claims for potential errors prior to submission and automating smart alerts to follow up with payers, athenaOne helps practices reduce the administrative headache associated with rework and improves overall financial outcomes, so they can have more confidence in the quality and efficiency of their claims.
**253.** And, if a prior authorization is required, AI agents gather necessary clinical information and help pre-fill authorization forms.
**254.** Automating tasks like insurance selection, claims creation, denial management, and prior authorization can help speed up claims processing and improve financial outcomes.
**255.** Represents average time saved by athenaOne customers using the AI-enabled Authorization Management Pre-call workflow; M237 13.
**256.** That’s why more small practices are turning to AI-powered tools to automate the administrative work that bogs them down.
**257.** With help from artificial intelligence, they can focus on higher-value work like patient coordination and follow-up.
**258.** By automating repetitive tasks, streamlining documentation, and freeing up staff to focus on patients, these AI-native innovations are helping reduce physician burnout, so you can look forward to coming to work each day.
**259.** Using machine learning artificial intelligence , the Automated Insurance Selection tool reviews patient visit data and historical information to help your team select the most accurate insurance, ensuring that claims go to the right payer with the right details the first time.
**260.** This smart, AI-driven automation has helped reduce claim holds by 35% 4 and insurance-related denials by 10.
**261.** Backed by the largest connected health data network in the nation, these artificial intelligence capabilities solve real problems like documentation overload, insurance verification, and process inefficiencies without adding complexity.
**262.** Want to explore how these AI-native healthcare tools can help your team? Whether you’re considering switching to athenaOne or already a customer looking to get more out of your technology, our AI-native intelligence tools are designed to support you — not as a buzzword, but as a practical solution to some of your biggest day-to-day challenges.
**263.** That’s where AI applications in healthcare like machine learning and computer vision step in.
**264.** athenaOne’s AI-enhanced prior authorization workflow uses machine learning to automatically pull relevant information from the patient’s chart and complete clinical forms as part of the submission process.
**265.** This automation reduces the time it takes to gather and submit documentation, cutting clinical review time by 45%.
**266.** Our AI uses natural language processing, machine learning, computer vision, and generative AI in ways that support small practices like yours.
**267.** Enter Automated Insurance Selection to expedite this process and reduce manual input and potential errors.
**268.** Represents average time saved by athenaOne customers using the AI-enabled Authorization Management Pre-call workflow; M237 Based on athenaOne data between July 2023 – June 2025, customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 35% reduction in patient insurance related rule-hold rates on those claims compared to their claims with new insurance policies created without using the Automated Insurance Selection workflow; Based on athenahealth data for 24-months ending June.
**269.** athenaOne customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 10.
**270.** Using the AI-enabled voice navigation in athenaOne Voice Assistant powered by Nuance ®, clinicians can complete tasks simply by speaking.
**271.** What these AI-enabled features mean for your practice As a physician running your own small practice, you're not just delivering care.
**272.** Explore our AI tools or get in touch to see how intelligent, purpose-built AI can help your practice save time, reduce administrative work, and stay focused on delivering great care.
**273.** 2023, comparing click count before and after implementation of the AI-enabled voice navigation; M240 Based on athenahealth data as of Dec.
**274.** AI adoption is gaining ground, but not for everyone One-third (33%) of physicians said their organization currently uses AI, while 44% said they weren’t currently using AI and 23% said they weren’t sure—a striking signal that many clinicians may be using AI-powered tools without realizing it.
**275.** This could be because medium practices may have more resources to put toward artificial intelligence than smaller practices yet are more agile than larger organizations.
**276.** The opportunity now isn’t just to roll out more artificial intelligence.
**277.** Over two thirds, (68%) of physicians said their use of AI for clinical documentation such as ambient listening, AI scribe or smart transcription tools increased, while just 2% said it decreased.
**278.** AI adoption for administrative tasks is more fragmented and less visible AI’s role in automating administrative work is growing, too—though it’s happening mostly behind the scenes.
**279.** Even as generative, agentic , and predictive AI continue to transform healthcare delivery, thoughtful implementation of this technology, whether through AI tools or AI-native electronic health records (EHRs), remains critical to ensure it enhances, rather than diminishes, the physician-patient relationship.
**280.** The biggest benefits? Clinical documentation and ambient notetaking show clear growth above the rest Among physicians who are already using artificial intelligence in their practice, 68% reported their use of AI for generating clinical documentation increased, a strong indicator that this use case is a popular one for those familiar with the technology.
**281.** When we look at the nuances between geographic locations, our data shows that more physicians in urban areas believe that artificial intelligence will have a positive impact on the quality of patient care (43%) and reducing the overall cost of patient care (36%) compared to those in suburban areas (32% and 26%).
**282.** Notably, 61% of physicians worry about the potential loss of human touch in patient care, while 58% fear an overreliance on artificial intelligence for diagnostic purposes, which could lead to potential inaccuracies and issues with patient care down the line.
**283.** The athenaOne AI-native EHR is designed to make care more personal, not more mechanical, by removing friction from the clinician’s day.
**284.** Artificial intelligence in diagnosing medical conditions and impact on healthcare.
**285.** While physician burnout is one of the greatest and most persistent challenges in healthcare, advancements in healthcare technology and automation are becoming part of the solution.
**286.** As data from our 2025 Physician Sentiment Survey shows, year-over-year awareness continues to increase, with clinical documentation and ambient notetaking listed as the use cases with the most growth among clinicians today.
**287.** While adoption has grown for clinical documentation and ambient notetaking , the data suggests there’s still substantial opportunity to reduce the daily administrative strain on physicians.
**288.** Data-backed AI use cases like clinical documentation and ambient notetaking can help alleviate the administrative burden for understaffed practices and burnt-out physicians.
**289.** Clinicians feel increased optimism around the integration of AI in healthcare In about a year, sentiment about AI in healthcare has shifted from skepticism to optimism.
**290.** Instead of doctors spending their evenings completing progress notes in order to get reimbursed, AI is helping automate documentation and compliance tracking.
**291.** AI in revenue cycle management can also take on the process of navigating a maze of insurance policies and prior authorizations , helping automate these steps so that patients can receive timely care.
**292.** Medical billing, insurance claims, compliance requirements, and record-keeping create a mountain of administrative work, but AI EHRs can help ease this load by automating redundant tasks, improving data accuracy, and streamlining clinical workflows.
**293.** AI has shown promise in pattern recognition, such as spotting anomalies in x-rays and imaging, and identifying trends in patient data, but it remains unclear how physicians in the coming years will collaborate with and help train the technology in the future.
**294.** In fact, physicians aged 65 or older are more likely to believe AI can help with pattern analysis and diagnosis support than their younger counterparts.
**295.** They may be more receptive to the potential for AI in patient engagement , from intelligent text messaging to automated wait lists.
**296.** These tools can make a meaningful difference, especially when clinicians start seeing the benefits of AI helping reclaim time to focus on patient care.
**297.** Thoughtful, intentional implementation of incremental healthcare technology improvements, such as these AI features, help empower physicians to do what they do best.
**298.** Ambient Notes is a new solution embedded in athenaOne Mobile® that simplifies clinical note documentation, using AI-driven ambient listening to record patient visits and summarize the visit note for placement in the patient encounter.
**299.** Smith her weekends back Blog How Ambient Notes gave Dr.
**300.** Smith her weekends back Erika Christiansen April 24, 2025 4 min read Spend more time with patients, and less time on documentation, with Ambient Notes In 2009, with the passing of the HITECH Act and the forced digitization of the patient record, the healthcare industry leaned into the promise that technology could serve up consistent, accurate, longitudinal data without overburdening healthcare workers.
**301.** Leveraging Ambient Notes can save clinicians valuable time, empowering them to dedicate more time to patient care.
**302.** At HIMSS 2025 in Las Vegas, Nevada, athenahealth’s VP of Product Management, Chad Dodd, discussed Ambient Notes with Dr.
**303.** Smith had the opportunity to beta test Ambient Notes as a member of the IT Committee of Springfield Clinic.
**304.** Before Ambient Notes, she would close an average of 0-10% of her notes same-day.
**305.** “I have my weekends back since January 6, which is when I started [using Ambient Notes].
**306.** Smith's notes done quicker using Ambient Notes, she reports that they're also more accurate.
**307.** Smith said her notes before Ambient Notes were like robust “Cliff Notes” of the conversation, but by the time the weekend rolled around, some details would get lost in the mix.
**308.** Ambient Notes, however, picks up every relevant detail, such as duration of symptoms and where and when patients travelled.
**309.** Given the patient's history, that conversation would have happened exactly the way it did with or without Ambient Notes; however, since the documentation was able to capture the full breadth of the conversation, whereas Dr.
**310.** Smith said, "Even though, yes, there is a cost associated with [Ambient Notes] 100%, I recoup it within at least two to three patients because I am able to bill accurately.
**311.** Since she has been using Ambient Notes, she feels she can be more present with her patients during the visit.
**312.** How much time can you save with Ambient Notes? We're committed to staying on the cutting edge of innovation to empower clinicians like Dr.
**313.** Get in touch to learn more about Ambient Notes – we'd love to help you transform your clinical efficiency.
**314.** Our discussion centered on how artificial intelligence (AI) is transforming healthcare and how it may shape the future of care access, delivery, and regulation.
**315.** Whether through telehealth , AI-powered diagnostics, or predictive analytics that identify patients at risk, AI can extend care to places and people too often left behind.
**316.** In stroke care, AI-powered algorithms are supporting treatment planning and predicting future events, enabling specialized knowledge to be shared beyond large urban health systems across communities.
**317.** Instead of only the most well-funded hospitals having access to top-tier expertise, AI-powered technology deployed across the social determinants of health can help ensure that patients everywhere receive high-quality care.
**318.** Dhar noted that even at well-funded institutions, bringing on AI-powered ambient technology is not an easy thing to do.
**319.** Governments and healthcare payers should explore subsidies, grants, or reimbursement models that make AI-powered tools accessible to safety-net hospitals, rural clinics, and smaller practices.
**320.** That includes a vision for a fully AI-native EHR , with a the AI-native intelligence layer built on top of the rich data foundation already present in athenaOne.
**321.** Advanced AI tools, such as ambient clinical listening and automated documentation, can dramatically improve healthcare efficiency, but they are an investment practices need to make in order to gain these benefits for physicians and patients.
**322.** AI is shaping up to be one of the most powerful tools in modern healthcare, helping to streamline workflows, support clinical decision-making, and improve patient engagement.
**323.** When deployed thoughtfully, AI can help bridge critical healthcare equity gaps.
**324.** As Vilas Dhar noted, in deeply rural Rajasthan, India, AI is being used to map public health trends—tracking maternal health and infant birth weight to identify and predict where nutritional interventions are needed.
**325.** For communities that lack sufficient healthcare providers, AI could also help distribute medical expertise more equitably.
**326.** Matherne noted, AI can help address the shortage of stroke neurologists, who are often clustered in major U.
**327.** AI should be designed to assist in decision-making, not to take over the role of physicians.
**328.** Improving visibility into revenue cycle performance , combined with automation in claims processing and outsourcing claims denials management, helps practices maintain margins — while minimizing manual effort.
**329.** Claims automation tailored to public payer rules, as well as automated report submission for MIPS and other programs.
**330.** Technology solutions that reduce administrative task friction include: Ambient Notes — an ambient listening tool that auto-generates clinical documentation to reduce time spent charting Natural Language Processing-enhanced claims tools that can help suggest accurate codes based on documentation, with appropriate clinician review and approval Prior authorization automation with integrated forms and status updates Real-time insurance eligibility verification at scheduling to reduce front-end errors Reporting dashboards that flag stalled or at-risk claims and provide a clear workflow for timely intervention With the right tools, practices can recover both dollars and time — easing administrative load and allowing clinical teams to focus on care knowing that revenue can continue flowing.
**331.** Electronic health records (EHR) software can support PCPs by enabling: Chronic care management workflows that track patient time and support billing Population health dashboards to proactively manage panels and risk scores Embedded quality measure reporting for value-based contracts Shared care plans across teams to coordinate patient goals Telehealth and virtual visit support to improve access and continuity Payer-specific program prompts at the point of care — helping PCPs capture available incentives Integrated systems that reflect the full scope of longitudinal, team-based care can help ease financial strain and allow PCPs to focus on patients instead of payment models.
**332.** Artificial intelligence (AI) has the potential to be a critical tool to help deliver exceptional and personalized healthcare.
**333.** With the rise of generative AI and its use of Large Language Models (LLMs) to synthesize and create new content such as text, images, and videos, we are on the cusp of the next frontier in our ability to improve healthcare for all.
**334.** AI’s role in the patient-physician relationship At athenahealth, we see AI as a critical tool that can simplify the practice of care, not only by reducing friction at every point in the healthcare continuum but also—especially with the promise of generative AI extending new capabilities that can make healthcare better and more personal .
**335.** At athenahealth, we are exploring ways to leverage generative AI to streamline communications in ways that help physicians better manage their clinical inbox while ensuring patients get timely, personalized answers.
**336.** In fact, while many patients might not realize it, AI has been used in healthcare for years to reduce administrative burdens, automate routine tasks, and increase the accuracy of everything from diagnoses to prior authorization requests.
**337.** Just as important as building and evolving the technology is our ability to market AI’s benefits to physicians and patients alike, to ensure that it’s leveraged to help reclaim what’s at the heart of exceptional care: a meaningful patient-physician relationship.
**338.** Perceptions about AI in healthcare As a chief marketing officer, I can confidently say that AI in healthcare has an image problem, with perspectives ranging from wild optimism for AI as a cure for all that ails the healthcare system to fear that AI will destroy care as we know it.
**339.** There is work ahead for health technologists to properly convey the benefits and promise of AI while helping to erect guardrails to ensure it reaches its potential across all aspects of healthcare.
**340.** For patients, our work is to apply a consumer mindset to healthcare, ensuring we understand where technology and AI can help create the experience and outcomes we desire.
**341.** At a time when more than 40% of physicians are unsure how they feel about AI’s benefits—with 39% optimistic and 21% pessimistic—it’s clear that there’s opportunity to educate clinicians and patients alike on AI and its potential.
**342.** The takeaway is clear: Adapting AI capabilities into healthcare requires responsible implementation with a clear focus on removing barriers to the physician-patient experience and building bridges that enable care that is more human, not less.
**343.** When it comes to AI and its ability to enable a healthcare system that works for all, perception is just as important as reality.
**344.** With generative artificial intelligence (AI) reaching a tipping point, practices that can’t adopt the technology to engage patients with a consumer-grade experience will soon face an existential crisis.
**345.** Doctors who were previously plagued by “pajama time”—hours spent catching up on patient documentation work at home—feel liberated by AI-powered ambient listening.
**346.** The introduction of ambient listening technology has changed the equation, creating an industry-wide revelation.
**347.** This AI-based voice recognition technology has quickly proven its ability to shave off time on notetaking, documentation, and entering preliminary information to assist in billing patient encounters .
**348.** While last year’s conference centered on generative AI hype , with few applications in sight, this year showed real world impact and a more tangible roadmap of coming applications—including agentic AI .
**349.** 2 Beyond the important work to streamline operations, AI is also increasingly working as an intelligence layer that enables doctors to spend less time hunting for facts and more time acting on insights at the moment of care, allowing their practices to offer a better experience for patients and staff.
**350.** As I wrote about AI previously in Fast Company : “Just as important as building and evolving the technology is our ability to market AI’s benefits to physicians and patients alike, to ensure that it’s leveraged to help reclaim what’s at the heart of exceptional care: a meaningful patient-physician relationship.
**351.** It’s not another rule-based automation that sits on top of your EHR or a clunky chatbot or phone tree with a few pre-programmed choices.
**352.** Instead of digging through patient records, the staff member can simply click a button to see everything in one place — pulled directly from athenaOne® and enhanced by Salesforce’s automation.
**353.** But now, with smarter tools and better integration, AI is stepping in to lighten the administrative load .
**354.** The next chapter isn’t just about smarter tools.
**355.** A lot of AI tools today are reactive; they wait for a user to prompt them to surface information or help fill in a field.
**356.** Agentic AI can prompt smart alerts to help optimize scheduling and aid in patient outreach.
**357.** Here’s how things are changing to make agentic AI tools possible: EHRs are becoming more open and cloud-based , with modern architectures, improved interoperability, and specialty-specific workflows that can benefit urgent care, primary care, and other practices Vendors are offering real-time, standards-based APIs, making it possible for the AI agents to connect to existing systems AI models are more capable, handling nuanced, clinical data and real-world complexity Put simply, the environment is finally ready for technology that helps , not hinders.
**358.** AI agents help reduce this cognitive load that has long been a side effect of healthcare tech.
**359.** But the big difference between AI-enabled and agentic AI is that it acts, not just analyzes.
**360.** An urgent care practice might leverage Agentic AI applications to help communicate with patients in real time.
**361.** Learn how our partners can put AI to work in your workflow We’ve pulled together a few real-world examples from the Marketplace where agentic AI is helping to cure complexity and reclaim time for care.
**362.** Every practice is supported by: A dedicated customer success manager who learns how your team works — and stays engaged well beyond go-live An onboarding success manager who keeps implementation running smoothly and aligned to your timeline Clinical workflow specialists who personalize EHR functionality around the way you deliver care Mock patient encounters that let your team train in realistic, low-stress environments This isn’t just a switch to a new platform — it’s a strategic partnership from day one, built to help your team feel confident, supported, and ready.
**363.** What this looks like: Workflow discovery sessions to map how your staff and systems operate Tailored configuration across locations or specialties Super-user training to build internal experts at your practice Real-time dashboards to track adoption and progress Regular check-ins with your onboarding team and CSM to make sure no one falls behind Our job is to help your organization hit the ground running and then maintain that momentum every day.
**364.** From product release updates to ongoing training and workflow optimization, we make sure your staff feels supported, informed, and confident — every step of the way.
**365.** Revenue diversification: Facility fees and ancillary services can help buffer against unpredictable reimbursements.
**366.** pain management ASC More pain management resources Previous marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more pain management Building a referral-to-appointment engine with LeadSquared 82% referral-to-appointment conversion 100% patient contact within 24 business hours Read more clinical efficiency Pain practices streamline workflows to reduce administrative workload Read more marketplace partner Phreesia helps pain management practice speed up intake to optimize efficiency Read more marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more pain management Building a referral-to-appointment engine with LeadSquared 82% referral-to-appointment conversion 100% patient contact within 24 business hours Read more clinical efficiency Pain practices streamline workflows to reduce administrative workload Read more marketplace partner Phreesia helps pain management practice speed up intake to optimize efficiency Read more marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**367.** How AI is used in healthcare IT today Healthcare uses of AI continue to expand, particularly within AI-powered EHRs where accuracy and reliability are paramount: AI is helping structure large datasets within EHRs so that patient information is more usable for clinicians.
**368.** But as AI capabilities grow — especially in healthcare , where models touch sensitive patient data — clinicians must be vigilant in ensuring the accuracy of their inputs for AI models and establish oversight and processes of error reporting to help guide AI-driven outputs.
**369.** Some of these safeguards include: Ensuring AI is always used as a tool and having qualified professionals review clinician inputs and AI outputs before making critical decisions Constantly evaluating data surfaced by AI and looking for ways to increase AI training data by offering more diverse and representative datasets to help reduce bias Providing trainings for clinicians and staff to help them understand the limitations of AI models and best practices for working with AI outputs Encouraging reporting on suspected AI inaccuracies for investigation in the hopes of finding ways to improve AI-driven models Continuously monitoring and evaluating AI models in healthcare while opening feedback loops to help improve quality and performance of AI-driven models Providing defined roles and responsibilities for AI oversight within different organizations and creating policies for handling AI error or inaccuracy Developing quality assurance teams to work in collaboration, ensure proper communication across channels, assess potential risks, and analyze potential data-related errors Putting systems in place for human oversight helps enhance AI accuracy.
**370.** It can also give insights into how AI-driven platforms can evolve with better patient outcomes in mind.
**371.** Keeping in touch with healthcare trends and looking for ways to expand access to data helps promote better accuracy within our AI-driven solutions.
**372.** But as machine learning, predictive analytics, and generative AI become more prevalent in healthcare IT, human oversight remains essential, especially to ensure AI accuracy in clinical documentation and other sensitive workflows.
**373.** Natural Language Processing (NLP) and generative AI tools, such as Ambient Notes , help transcribe clinical notes via text or voice inputs, summarize visits, and identify clinician diagnoses and ICD-10 codes to pass through for more efficient chart closure and movement from the patient encounter to billing.
**374.** While AI can effectively surface and organize patient information, the true value of that data depends on a clinician’s expertise We mentioned how NLP tools can help transcribe clinical notes during patient encounters so clinicians can focus more on the patient.
**375.** Similarly, by synthesizing data across patient populations, AI can help clinicians track trends and uncover potential care or diagnosis gaps to meet value-based care (VBC) requirements .
**376.** Using AI to extract clinical information relevant to billing and reporting can help save time, improve accuracy, and reduce claims denials as well as the overall administrative burden on practices.
**377.** Additionally, some AI functionalities can help identify patients overdue for care and automate appointment reminders as a means of promoting patient engagement .
**378.** When those safeguards are in place, AI helps EHRs become not just faster but more reliable, reducing manual reconciliation and supporting faster clinical decisions.
**379.** Researchers used AI models to help measure physician “fatigue” in clinical documentation .
**380.** For example, disparities in access to care can result in certain racial biases that affect predictive analysis conducted by AI models 2 .
**381.** The AI model can help provide information for these subsets – but clinicians need to know how to apply or act on that information and do so while maintaining compliance.
**382.** Clinicians utilizing AI tools within EHR platforms typically do so in an effort to help offload repetitive tasks and get structured data that can help optimize data sharing between payers, providers, and patients.
**383.** Safeguarding against AI inaccuracy In some cases, AI utilization in healthcare has helped improve accuracy by surfacing human error.
**384.** That’s why payers and providers should implement safeguards for AI accuracy to handle the complexities of the healthcare ecosystem and massive amounts of personalized data constantly being processed and analyzed.
**385.** We want to offer AI services that help enhance practicality in healthcare, rather than introduce complications.
**386.** That’s what we mean by AI-native healthcare software, and it’s why athenahealth is leading the way in creating an AI-native EHR for ambulatory practices of every size.
**387.** What does it mean that an EHR is "AI-native"? An AI-native EHR means that artificial intelligence isn’t just an add-on, but the foundation of the system.
**388.** In an AI-native system, every process is smarter, more predictive, and more automated, resulting in a smoother and more efficient experience for clinicians, staff, and patients.
**389.** It's different than the “AI-powered” or “AI-enabled” terms that typically mean that a healthcare tech vendor has taken an existing system and tacked on AI features without rethinking how the system works as a whole.
**390.** An AI-native EHR is something different.
**391.** Here’s what sets an AI-native healthcare software apart: AI is built in, not bolted on.
**392.** In an AI-native system, intelligence is woven into the system’s architecture.
**393.** This means that every workflow, from documentation to billing to patient engagement, benefits from AI-powered enhancements right from the start.
**394.** An AI-native EHR takes it a step further by predicting clinician needs, recommending next steps, and automating repetitive tasks, creating a smarter, more intuitive experience.
**395.** AI-native systems get smarter over time by learning from the vast amounts of data flowing through their connected ecosystems.
**396.** In an AI-native system, the AI is always active, anticipating clinician needs and automating repetitive tasks rather than simply alerting users when something goes wrong.
**397.** Why AI-native EHRs matter for ambulatory practices Healthcare practices today are under pressure from every direction: rising administrative burdens, shrinking reimbursements, and increasing patient expectations.
**398.** Here’s how an AI-native EHR can help ambulatory practices: Save time on documentation and billing.
**399.** AI-native EHRs automate complex claim workflows and spot payer rule changes before they disrupt cash flow, helping you get paid faster and reduce denials .
**400.** By automating routine tasks, AI-native EHRs reduce the administrative load on clinicians and staff, letting them focus on providing exceptional care .
**401.** What’s the difference between AI-native and AI-powered EHRs? The key difference lies in how AI is integrated.
**402.** An AI-native EHR, on the other hand, is designed from the start with AI deeply embedded in its architecture .
**403.** This results in a system that’s faster, smarter, and more intuitive because it’s optimized for AI-driven efficiency.
**404.** Who benefits most from AI-native EHRs? Ambulatory practices, clinics, and small health systems that need to simplify operations, speed up revenue cycles , and free clinicians from administrative overload benefit most from AI-native EHRs.
**405.** AI-native EHRs help level the playing field, offering the benefits of sophisticated AI without requiring specialized expertise.
**406.** Does healthcare AI replace clinicians? AI-native systems are designed to support clinicians, not replace them.
**407.** Rather than replace the critical role that clinicians play in patient care, AI-native systems are designed to complement human judgment, enhance workflow efficiency, and reduce administrative workload.
**408.** athenaOne®: The AI-native EHR built for ambulatory care At athenahealth, we’ve been investing in AI for years , not as a trend, but as a foundation.
**409.** The result is athenaOne, a truly AI-native, multi-tenant EHR platform purpose-built for ambulatory practices of every size.
**410.** Ready to learn more about how AI-native EHRs can transform your practice? If you’re ready to see how an AI-native EHR can help simplify operations, speed up revenue cycles, and reduce clinician burnout, we’re here to show you.
**411.** The AI within the system offers suggestions, predictions, and automations, but the clinician always retains control of the decision-making process.
**412.** With features like ambient note capture , auto-coding, and predictive task prioritization, clinicians can spend less time on data entry and more time on patient care.
**413.** These features are configurable to match each practice’s comfort and maturity with AI, meaning clinicians stay in control of their decision-making, while AI helps them work faster and more accurately .
**414.** With AI-assisted communication tools, proactive scheduling, and self-service options, practices can engage with patients in a way that feels personalized and efficient without burdening staff.
**415.** AI helps clinicians make faster and more accurate decisions, but the human touch remains at the core of care delivery.
**416.** As we stand in the midst of an AI revolution, I want to share our vision for how we’re using artificial intelligence across the athenaOne platform to help delight users and cure complexity.
**417.** By building a powerful, AI-native intelligence layer on top of this data foundation, athenaOne turns data into rich, actionable insights that can be embedded directly into everyday workflows.
**418.** Our bold vision for an AI-native athenaOne In the coming weeks and months, the AI-native athenaOne platform is poised to revolutionize how practices engage patients, coordinate and deliver care, and manage their revenue cycle.
**419.** Transforming physician workflows For physicians, this means a reimagined, AI-native athenaOne physician experience that is an intelligent, agentic partner that enhances decision-making and care coordination while reducing cognitive load and administrative burden.
**420.** Importantly, this experience will be available to all clinical users, and allows them to choose whether to use the AI-native view, not use it, or go back and forth between them during a patient encounter.
**421.** As an AI-native platform, athenaOne will continue to improve and adapt, making practices smarter, faster, and more efficient over time.
**422.** With athenaOne’s AI-native platform, we’re redefining ambulatory care —delivering smarter, connected workflows that transform every interaction.
**423.** A legacy of leading, not following We’ve always been the ones pushing healthcare forward , whether it was cloud-based solutions in the 2000s, AI-powered workflows in the 2010s, or embedded telehealth during the pandemic.
**424.** Now we’re doing it again with AI-native athenaOne .
**425.** Advances in machine learning, large language models, and real-time data integration in healthcare are opening up possibilities that were once unimaginable.
**426.** With AI, we are transforming this factory — from one powered by people augmented with AI and automation, to one that’s powered by AI and supported by people.
**427.** Instead, our vision is an AI-native athenaOne® that works as an assistant to your practice, taking on the tasks nobody wants to do — like wading through mountains of faxed data or sifting through endless administrative work.
**428.** An invisible, powerful AI intelligence layer With our AI-native athenaOne, AI will become the core of the system — making the EMR truly smart.
**429.** What truly sets AI-native athenaOne apart, however, is the intelligence layer: a dynamic foundation that will house our expanding library of AI agents, models, and rules engines.
**430.** AI healthcare tools that are actually practical: The four key pillars of AI-native athenaOne The four key pillars of AI-native athenaOne — platform interoperability , enhanced clinical decision-making, revenue cycle optimization, and patient engagement — form the foundation of our holistic approach to transforming the practice with artificial intelligence.
**431.** With AI-native athenaOne, we are building on this foundation, layering in next-gen AI technologies to turn this seamless data exchange into actionable insights for physicians.
**432.** AI-native athenaOne will create an invisible, intelligent second mind in the exam room that helps reduce cognitive load and offers personalized decision support.
**433.** By breaking down the revenue cycle into distinct, highly tuned and automated stages , we laid the groundwork for an AI-native system that adapts, scales, and drives results.
**434.** Our next-generation, real-time AI-powered solutions are set to tackle the challenges that have remained unsolved.
**435.** Transforming patient engagement with AI Smarter AI-powered capabilities are also poised to transform patient engagement — another area where higher expectations from patients are translating to increased demand on physicians and their staff.
**436.** AI-native athenaOne will also embed AI across the patient journey, from intelligent appointment scheduling to automated reminders, to help practices be more responsive, more personalized, and ultimately more effective in delivering care.
**437.** With our AI-driven core, practices can reduce staff workload, improve efficiency, and enhance patient satisfaction.
**438.** An AI-native solution that’s scalable, seamless, and ready for what’s next The pace of change in the healthcare industry is unprecedented, and staying on top of innovations can add another burden to the already full plate of health professionals.
**439.** Making athenaOne an AI-native platform is the latest way we’re helping execute on it – and we’re excited for what lies ahead.
**440.** This intelligent framework has allowed us to infuse automation and AI into every stage of the revenue cycle over the past decade.
**441.** Acting as an always-on intelligent assistant, it will help reduce physician burnout by taking on repetitive tasks, surfacing insights at the point of care, and suggesting next best actions in real time.
**442.** More than 20 years ago, we revolutionized the model by creating a modern, cloud-native “intelligent RCM factory,” designed to process claims with industrial precision.
**443.** Every user, whether you’re a solo practitioner or a large group, gets access to powerful new AI capabilities, right out of the box, and updated three times a year automatically as our roadmap becomes reality.
**444.** But no matter the orthopedic specialty or care setting, artificial intelligence is helping orthopedic providers manage fast-paced workflows and navigate the administrative and procedural complexities.
**445.** Intelligent interoperability and AI-native integrations Orthopedic providers practice across the full spectrum of care settings: hospitals, ambulatory surgery centers (ASCs), rehabilitation centers, and private practices ranging from large university-affiliated groups to single-surgeon small clinics.
**446.** Now, AI-powered orthopedic EHR systems can reduce complexities by structuring incoming healthcare data, deduplicating, summarizing, finding relevant information, and inserting it in the patient’s health record for provider review.
**447.** In clinics and ASCs or hospital settings, predictive models aid in identifying and coordinating equipment needs for procedures, with some AI-powered equipment even aiding in procedures themselves.
**448.** Artificial intelligence can also reduce administrative burden.
**449.** Read about the advantages of athenaOne EHR for orthopedics Meanwhile, AI-powered Interface Insurance Mapping can help integrate third-party information into athenahealth’s library of insurance packages by mapping patient demographic and charge data during new client onboarding.
**450.** AI to mitigate risk and improve value-based care success Other AI-driven predictive models can help analyze patient data so clinicians can better identify those at risk for complications or poor outcomes.
**451.** Faster documentation with AI-driven automation Orthopedic encounters are complex.
**452.** Before voice-activated, AI-powered tools, providers either switched frequently between the patient and their keyboard or relied on scribes to note-take during the encounter.
**453.** AI-powered natural language processing (NLP) tools are dramatically reducing the time orthopedic providers spend on documentation so they can be more engaged during each visit.
**454.** For example, AI-powered imaging tools can analyze X-rays, MRIs, and CT scans to help orthopedic providers more accurately diagnose fractures , joint degeneration, and more.
**455.** With the power of advanced AI algorithms and machine learning, orthopedic practices can deliver more personalized care, drive better outcomes, and create new opportunities for growth.
**456.** That automation helped athenahealth customers saved 3,600+ staff hours on manual mapping 2 .
**457.** Automation can help providers enter claims more accurately—helping reduce the risk of denials—and accelerate reimbursement cycles and improve cash flow and overall practice management .
**458.** Predictive analytics across orthopedic workflows Another way practices can look to harness AI is through predictive analytics, which offers ample value when it comes to determining prior authorization .
**459.** Machine learning within the athenaOne authorization rules engine helps determine when a prior authorization is required.
**460.** Faster decision-making and automated processes allow practice administrators the chance to reallocate their time elsewhere.
**461.** For example, the Automated Insurance Selection workflow auto-matches patients with insurance packages from an uploaded insurance card image.
**462.** athenahealth customers who created claims using the Automated Insurance Selection Workflow saw a 7.
**463.** The Ambient Notes Medical Scribe embedded in athenaOne seamlessly inserts note summaries into patient records, allowing providers to spend more time on the patients .
**464.** Whether you’re a single-surgeon specialist repairing ligaments for elite athletes or a bone and joint expert helping seniors manage chronic pain — the challenge is the same: ensuring truly coordinated care from diagnosis to rehabilitation.
**465.** By learning from prior cases and clinical notes, AI can also help create personalized treatment plans — whether for the teenage soccer player rehabbing a torn meniscus or an 80-year-old patient getting cortisone shots to help maintain their mobility.
**466.** The top ways AI can help improve orthopedic practice health Orthopedic practices can use AI tools in EHRs and tailor them to specific business needs.
**467.** To flag potential errors before claims are submitted, AI algorithms embedded in the athenaOne® revenue cycle management tools analyze coding patterns and payer requirements.
**468.** Native AI tools assist with patient registration and intake.
**469.** The Intelligent Claim Follow-Up capability analyzes historical patterns with each payer and automatically creates tasks for athenahealth agents to follow up with providers regarding claim statuses.
**470.** Soon, AI agents can fully automate this process with physician approval.
**471.** AI to assist with prior authorizations This form of predictive analysis can be especially valuable to orthopedic providers.
**472.** Whether an orthopedic provider prescribes medication for bone density loss or an orthopedic oncologist orders a CT scan, AI analyzes millions of claims submitted on the athenaOne network annually to identify proper prior authorization requirements and surface supporting documentation.
**473.** Soon, emerging agentic AI capabilities will extend that assistance even further.
**474.** Enhance patient recovery and reduce no-shows using AI Predictive insights can guide orthopedic practices in scheduling follow-ups with the hopes of reducing no-shows.
**475.** But AI-predicted document labeling for administrative documents can help reduce the time spent on labeling external faxes from imaging centers or labs.
**476.** By integrating AI capabilities through comprehensive platforms like athenaOne , orthopedic practices can optimize financial performance and deepen patient engagement — including leveraging agentic AI and chatbots for support.
**477.** Confidence in AI also has a generational component, with younger physicians more likely to see immediate benefits of artificial intelligence in their day-to-day practice than their older counterparts.
**478.** Invest in smart, interoperable tools Technology should reduce complexity, not add to it.
**479.** Namely, AI-supported ambient listening and note generation are helping reduce documentation fatigue, and generative AI and agentic AI can assist in managing patient portal messages and non-urgent inquiries.
**480.** Automating the tedious tasks, physicians can focus on higher-value work and demonstrate that AI is a helpful partner , not a disruptive force.
**481.** Train staff on scripts and workflows for helping patients with Medicaid renewals, referrals, or financial assistance.
**482.** What other practices are doing  Contingency planning in action    According to KLAS Research, 86% of providers are already implementing contingency plans, including:  Cutting services that are no longer financially viable Tightening billing policies to reduce bad debt Reviewing Medicaid participation status, especially in high-impact states Structural and operational shifts   In response to the CMS policy shifts , many clinics are making bigger changes: Focusing on higher-revenue service lines Automating workflows and adopting AI to reduce admin burden Strengthen revenue cycle processes Sharing administrative functions across multiple practices  Stay nimble as Medicaid policy evolves   Medicaid rules and reimbursement models will continue to evolve.
**483.** Gen AI tools, especially ambient tools embedded within AI-native electronic health records (EHRs) are reshaping how clinicians capture the story of a patient visit.
**484.** AI-powered ambient clinical documentation tools are already helping to ease that burden.
**485.** Discuss the AI tool with the patient Patients are adjusting to the new rhythm of the AI-powered visit as well, and transparency builds trust.
**486.** When used intentionally, ambient notetaking tools can support a more natural exam, reduce pajama-time documentation, and create cleaner, more complete records Embracing AI responsibly with athenahealth Generative AI tools housed in an AI-native EHR represent a powerful step forward in healthcare documentation.
**487.** Ambient AI tools are designed to get smarter over time as they learn from use and adapt to different workflows.
**488.** One of the clearest examples of generative AI use in healthcare tech is clinical documentation.
**489.** Like any emerging technology, ambient AI scribes require both thoughtful use and flexibility as they are deployed.
**490.** When used intentionally, ambient notetaking tools can support a more natural exam, reduce pajama-time documentation, and create cleaner, more complete records.
**491.** Best practices for using generative AI in clinical documentation To get the most of generative AI scribe tools, it helps to take a mindful approach that embraces the technology’s strengths and the nuances of patient care: 1.
**492.** Leverage training to the fullest Getting started with generative AI in your EHR doesn’t have to feel overwhelming.
**493.** Some vendors offer onboardings and onsite training for generative AI tools to help familiarize clinicians with the platforms and use cases and offer the opportunity to have any questions answered.
**494.** Before using ambient tools, clearly explain to patients how the technology works, what information will be recorded, and how it will be used.
**495.** Embrace a patient-centric bedside manner One of the chief benefits of generative AI for clinical documentation is allowing practitioners to focus on the human connection during the exam.
**496.** Because ambient tools work quietly in the background, patients experience a visit that feels more like a true conversation and less like a data-entry exercise.
**497.** Keep your device nearby and ready One change that using ambient clinical documentation tools can require is having your phone within easy reach during a patient visit.
**498.** Ambient tools rely on clear audio input to generate accurate notes, so positioning the device close enough to capture the conversation is key.
**499.** The ambient offerings in athenaOne® offer intuitive controls to pause and resume, including traditional voice dictation post-visit.
**500.** Speak clearly and guide the model Generative AI models perform best when they have clear, specific input.
**501.** With tools like athenahealth’s Ambient Notes, clinicians can even choose the ambient model that feels most natural for their specialty and workflow.
**502.** Review and edit notes before finalizing Ambient AI tools can take a lot of weight out of documentation, but it’s not meant to replace a clinician’s judgment.
**503.** The draft notes ambient tools produce are a strong starting point that need the expert eye of the person who knows the patient best.
**504.** Recent studies have shown clinicians using ambient technology spent 20.
**505.** More time for patient care One of the most exciting benefits of ambient AI documentation is the potential to free clinicians from the keyboard and screen .
**506.** If you’re considering integrating ambient AI tools into your practice, explore our resources and training to ensure a smooth, compliant transition that benefits both providers and patients.
**507.** To maximize the benefits of AI and to maintain trust, accuracy, and compliance in clinical documentation, physicians can look to these best practices to help them consider their appetite for AI tools in their workflows and how to thoughtfully implement them.
**508.** At athenahealth, we’re building a support system that helps clinicians discover new efficiencies and build trust in the platform: Live webinars for real-time learning and Q&A with experts On-demand guides and videos you can revisit anytime Peer communities to share tips and workflows across specialties Personal success managers who tailor guidance to your practice In-app nudges that surface workflow optimizations right when you need them.
**509.** Clinicians should aim to speak naturally but also intentionally to help the system accurately capture the clinical picture.
**510.** Over time, clinicians also learn how their AI model interprets different phrasing – and the model learns from continued clinical use – the physician and AI assistant adjust together to get the best output.
**511.** Providers are experiencing real gains in efficiency and patient engagement today, and expectations for AI-powered tools are only accelerating.
**512.** At athenahealth, we’ve long led the way in optimizing clinical workflows, and now we’re building on that foundation with an AI-native athenaOne platform designed to embed intelligence seamlessly across every aspect of ambulatory care.
**513.** Here’s a preview of some of the exciting capabilities already rolling out in athenaOne, including clinical AI-powered tools, designed to meet the unique challenges of ambulatory practices.
**514.** AI-native athenaOne is advancing this with innovations that promise real-time, standardized communication across data sources, including: Next Generation Document Services: This AI enhancement extracts relevant information from faxes and transforms unstructured data into discrete, reportable data elements within the EHR.
**515.** Smarter clinical workflows and enhanced care with AI-Native EHRs Clinical documentation and care coordination can weigh heavily on clinicians, demanding valuable time and attention.
**516.** Our AI-native intelligence layer , powered by smart machine learning and generative AI tools, serves as the foundation for these advancements.
**517.** It integrates clinical, operational, and financial data, delivering AI-driven insights directly into clinician workflows to help reduce administrative burden and provide insights into servicing better patient care:  Draft diagnosis and orders: Native AI can analyze encounter data and patient chart updates to help pre-fill diagnoses and orders, speeding up documentation and improving accuracy with real-time updates and any clinician revisions or inputs.
**518.** Intelligent Summaries: Soon to enter alpha testing, these AI-powered overviews of diverse clinical data – including information regarding patient’s medical and social history – will enable clinicians to quickly access insights they need to make more informed decisions.
**519.** Clinically inferred diagnoses: One of the exciting prospects of an AI-native EHR is its ability to harness predictive analytics .
**520.** Clinical document automation: Ambient tools within the AI-native EHR will include voice-to-text capabilities to summarize visits and speed up documentation to help improve same-day closure rates .
**521.** Ideally, using AI-native solutions in the clinical workflow will help clinicians prepare for encounters more efficiently, improve same-day documentation, and enhance care coordination, which may help drive better patient outcomes and limit “pajama time” for providers.
**522.** AI-powered, two-way text messaging will give patients a window into their personalized health information.
**523.** These patient engagement tools within AI-native athenaOne will help contribute to increased patient satisfaction.
**524.** The athenaOne AI-native advantage By integrating native AI across clinical, financial, and patient engagement domains, athenahealth delivers a comprehensive platform that can help transform ambulatory care operations.
**525.** AI-native athenaOne not only simplifies workflows but also future-proofs practices with thoughtful, secure AI deployments tailored to individual clinician and practice preferences.
**526.** Find out how an AI-native EHR can help transform your practice and empower your team.
**527.** Powering intelligent interoperability with real-time updates and automation True transformation in ambulatory care requires not only powerful AI within a single platform but also intelligent interoperability across the healthcare ecosystem.
**528.** With millions of documents faxed across the healthcare ecosystem, this automation unlocks tremendous value for clinicians to reallocate their time to more meaningful elements of patient care.
**529.** Chart Assistant: Currently in the alpha phase, Chart Assistant uses generative AI as a data miner that scans all available clinical data to answer key questions or generate summaries across documents, charts, and clinical events relevant to individual patients.
**530.** This next generation of patient engagement AI technology leverages natural language understanding to comprehend and respond meaningfully to patient inquiries, automate routine communications, and promote continuous engagement throughout the care journey: Patient-facing AI assistants: These AI agents can securely communicate individual patient data in a conversational manner.
**531.** Tapping into AI for RCM Now that you have a sense of upcoming innovative AI tools that may help optimize clinical workflows and aid in patient outreach, what about revenue cycle management (RCM)? We’ve already harnessed the power of generative AI to help with things like insurance verification, and we’re working tirelessly to develop new solutions for financial workflows .
**532.** By providing real-time data updates and integrations, these AI innovations will help move ambulatory care beyond siloed systems and towards an intelligent, connected data ecosystem.
**533.** Clinicians can also ask the AI assistant, Sage, for data pulls that may prove vital in preparing for visits and in an effort to promote better patient encounters .
**534.** In this case, native AI will be able to leverage real-time updates from vitals, encounter summaries, lab results, and other patient chart data to help surface inferences and insights clinicians can use for diagnoses.
**535.** Appointment and waitlist management: Proactively communicates appointment reminders, follow-ups, and waitlist openings to reduce no-shows and optimize scheduling.
**536.** That includes plans to harness AI-enabled coding and agentic AI to help practices maintain cash flow.
**537.** The emergence of electronic health records (EHR) and AI-powered solutions aim to remedy this problem.
**538.** These AI-powered solutions aren’t just accessible: they offer different, specialized tools that can cater to individual practice needs.
**539.** Some will be available natively as part of AI-native athenaOne .
**540.** But EHR learning curves and a lack of automation can sometimes contribute to more work and clinician burnout.
**541.** Palantoni focused mainly on one touchstone: how agentic AI and large-scale technology can help enhance interoperability with local health systems.
**542.** Palantoni explained how athenahealth’s partnership with Salesforce and its integration of agentic AI helps meet both needs – streamlining operations for payers and providers while simultaneously helping improve patient communication and engagement.
**543.** With appropriate permissions, agentic AI solutions can access patient histories to help clinicians assess needs and potential care gaps, then leverage the data to help provide insights for clinicians to action on or adapt as needed.
**544.** The use case reinforces how agentic AI can help enhance patient engagement .
**545.** ” Allowing patients direct access to a national platform like Salesforce while simultaneously leveraging agentic AI systems within the athenahealth portfolio can help establish better connectivity with local service organizations and PCPs.
**546.** Providing specialized tools to satisfy individual practice needs The benefits of agentic AI can only help clinicians if they are readily accessible.
**547.** Multiple agentic AI solutions within the athenahealth Marketplace can also help automate prescription refills.
**548.** The growing availability and variety of agentic AI solutions can help enable greater localization and EHR customization.
**549.** When Agentic AI agents can access and act on that data, they do more than streamline workflows; they can help drive better patient outcomes, reduce administrative burdens, and free clinicians to focus on delivering meaningful care.
**550.** Without automation and reliable data, administrators face the dual challenge of managing high claim volumes while maintaining oversight.
**551.** This end-to-end automation allows revenue cycle teams to spend less time chasing claim updates and more time on strategic, high-value work, such as denial prevention and financial performance improvement .
**552.** athenahealth’s Advanced Claim Status reduces the administrative burden by automating updates, delivering richer data, and fitting into existing workflows.
**553.** Instant workflow updates: Those claim statuses and notes flow right back into Group Management, updating tasks automatically — no extra clicks, no manual entry.
**554.** Transforming enterprise revenue cycle management The Advanced Claim Status solution delivers practical benefits that make revenue cycle management faster, more consistent, and easier to scale:  Less manual work The entire claim status check process runs automatically — reducing thousands of hours of manual effort and allowing leaders to redeploy staff to higher-value tasks.
**555.** Automated file transfers: Invoice lists and claim status results move automatically between Group Management and athenahealth EDI, eliminating the need for manual uploads or downloads.
**556.** Artificial Intelligence (AI) in Healthcare: Patient and Physician Perspectives , United States of Healthcare and athenahealth.
**557.** Artificial Intelligence (AI) in Healthcare: Patient and Physician Perspectives, , p.
**558.** Artificial Intelligence (AI) in Healthcare: Patient and Physician Perspectives , p.
**559.** Most notably, the use of AI for clinical documentation rose by 68% between 2024 and 2025, as more clinicians turn to ambient note-taking and transcription tools to reduce after-hours charting 1 .
**560.** About half of patients are comfortable with AI in simple, administrative tasks such as recording notes (49%), analyzing data (49%), or communicating test results (47%).
**561.** But AI-powered Optical Character Recognition (OCR) technology is reshaping this process to deliver better outcomes for providers and patients alike.
**562.** How the AI OCR insurance verification capability in athenaOne® improves accuracy and efficiency Two standout capabilities in the AI-native athenaOne platform—Automated Insurance Selection and Insurance Mapping—highlight how innovative technology can reduce administrative tasks and help speed up the revenue cycle process, from initial patient intake to claims submission.
**563.** When a patient uploads an image of their insurance card to the patient portal or scans the card at the front desk during check-in, machine learning models within the AI-native athenaOne process the image instantly.
**564.** AI-driven Insurance Mapping in athenaOne tackles this challenge by automatically translating and aligning incoming demographic and charge data with the appropriate insurance in the system.
**565.** athenahealth’s vision for an AI-native platform harnesses an intelligent layer of machine learning across different workflows, freeing up time for clinicians to dedicate to patient care and practicing medicine.
**566.** Ready to unlock the full potential of AI-powered healthcare? Discover how athenahealth’s innovative AI solutions can elevate your practice’s revenue cycle management and patient journey.
**567.** AI OCR uses machine learning algorithms to extract, categorize, and contextualize insurance information, significantly reducing errors and the need for human intervention.
**568.** AI OCR, in contrast, acts like a smart assistant that not only reads but comprehends what is important—whether it’s distinguishing between a policy number and a group ID or interpreting handwriting from a patient-submitted insurance card.
**569.** This leap moves insurance card data extraction from a manual chore to a streamlined, automated workflow that improves accuracy and, ultimately, speeds up claims processing .
**570.** With the Automated Insurance Selection feature in athenaOne, practices can harness the power of AI to streamline insurance verification right at the point of patient entry.
**571.** Automated Insurance Selection can transform what used to be a manual, error-prone process into a fast, data-driven workflow that helps enhance accuracy while freeing staff to focus on patient care.
**572.** The Automated Insurance Selection and Insurance Mapping features are complemented by the proprietary rules engine in the athenaOne.
**573.** By moving beyond the limitations of traditional OCR, AI OCR capabilities are helping improve insurance data accuracy, automate manual tasks, and support healthier revenue cycles for ambulatory practices.
**574.** What is the difference between traditional OCR and AI OCR? While traditional OCR passively converts text, AI OCR actively engages with the content and analyzes it to pull out relevant information and tag it.
**575.** While traditional OCR passively converts text, AI OCR actively engages with the content analyzes it to pull out relevant information and implement tagging.
**576.** Once the models cross-reference the details on the card with the existing patient record, they automatically suggest the correct insurance for billing.
**577.** With AI OCR automating much of the data extraction and verification, there’s less guesswork.
**578.** This proactive approach to claims management can bolster clean claim rates, improve reimbursement speed, and help practices achieve healthier, more predictable revenue cycles.
**579.** Nearly half (48%) see it as a tool for clinical insight, highlighting opportunities for population health, diagnostics, and predictive analytics — if implemented carefully*.
**580.** 68% of physicians increased their use of AI for documentation in 2025 That’s a massive year-over-year jump, showing how quickly ambient note-taking and transcription tools are becoming mainstream*.
**581.** At athenahealth, we’ve made it a priority to offer clinicians the ability to choose from leading AI models within the AI-native athenaOne® electronic health record (EHR) specifically the utilization of Ambient Notes.
**582.** Giving clinicians the final say At athenahealth, we want to empower clinicians with an AI-native EHR that’s capable of providing the most up-to-date data available, and generative AI tools that can readily access that data while being adaptive and catering to different practice needs.
**583.** At athenahealth, we want to empower clinicians with an AI-native EHR capable of providing the most up-to-date data available, and generative AI tools that can readily access that data while being adaptive and catering to different practice needs.
**584.** These AI-powered tools provide clinicians with summaries of key elements in patient history and enable quick access to relevant insights–which can help enhance clinician preparedness before patient encounters.
**585.** Tools within AI-native athenaOne, like Ambient Notes, recognize and celebrate this diversity by offering a variety of customizable model options, enabling better, more efficient , and more satisfying clinical documentation and patient engagement.
**586.** If you’re interested in exploring how AI-native athenaOne can support your practice’s unique documentation needs , reach out to your athenahealth representative or visit our Resource Center to learn more.
**587.** Chart Assistant & Intelligent Summaries: Two tools currently in alpha testing, Chart Assistant and Intelligent Summaries, leverage generative AI to search across all available patient data, including documents, charts, and clinical events.
**588.** But as with any tool, one size doesn’t fit all—especially when it comes to generative AI tools integrated in electronic health records (EHRs).
**589.** The differences in model architecture and training lead to variations in the natural language processing (NLP) tools embedded in the EHR.
**590.** Practice administrators and care coordinators working in the EHR can also harness the power of generative AI in different workflows.
**591.** That’s why we developed a solution within athenaOne that gives clinicians choices from multiple AI models in Ambient Notes, designed to flex with their preferences, specialty needs, and workflow rhythms.
**592.** Offering multiple Ambient Notes models allows them to do just that.
**593.** How the models may look in athenahealth’s AI tools The athenaOne AI toolset includes native AI that helps to update, structure, and summarize data in patient charts to ambient tools that can help with same-day documentation and suggesting clinically inferred diagnoses.
**594.** Model stylization can look different across clinical workflows, with a level of customization for each: Ambient documentation tools: For clinicians who prefer natural, conversation-style dictation, some AI models can transcribe and organize spoken data with context sensitivity.
**595.** Other ambient tools may generate more formal, structured notes, particularly depending on how a clinician chooses to describe an encounter and leverage voice-to-text dictation tools.
**596.** Moreover, ambient tools synthesizing historical patient data and encounter history may provide longer or shorter recommendations for clinically inferred diagnoses, depending on model type.
**597.** That’s why Ambient Notes can be turned off at any time, ensuring clinicians remain in the driver’s seat regarding their documentation.
**598.** How do AI models function? In the context of health information technologies, AI models are equipped with learning algorithms that are developed and trained in unique ways to assist clinicians.
**599.** Each model undergoes specific training processes using distinct datasets, clinical scenarios, and coding techniques, which help shape how it understands and generates information.
**600.** The athenaOne® solution: AI-native revenue cycle management  athenaOne delivers a highly tuned, automated, AI-native revenue cycle — an intelligent, adaptive, self-healing system that eliminates manual friction and helps reduce denials while accelerating reimbursement.
**601.** AI-native RCM turns billing from a fragmented, reactive process into a proactive performance engine that continuously improves.
**602.** How AI-native revenue cycle automation works day to day  With athenaOne, automation is not a patchwork of tools but a unified experience across the revenue cycle.
**603.** AI-driven claims engine: Payer behavior is monitored across the network, allowing the system to discover patterns and make predictions .
**604.** AI-native design means these capabilities won’t operate in silos.
**605.** Outcomes that demonstrate financial and operational impact  Practices using athenaOne see measurable improvements that show the power of an AI-native approach:    5.
**606.** Across audiences, the benefit is clear: AI-native RCM transforms billing from a source of friction into a source of competitive advantage.
**607.** This AI-native foundation allows new capabilities, payer integrations , and marketplace solutions from our more than 500 partners to be deployed seamlessly for all users.
**608.** Revenue cycle benefits for physicians, administrators, and executives  The impact of AI-native RCM is felt differently across roles, but the combined effect is the same: healthier practices, improvements in operational performance, and more time for care.
**609.** For physicians: AI-native documentation and coding reduce after-hours charting.
**610.** For executives and CFOs: AI-native revenue cycle management reduces cost to collect, strengthens cash flow , and eases margin pressure.
**611.** The shift to AI-native revenue cycle management is game changing  Moving from manual billing to AI-native automation creates a dramatic shift in daily operations.
**612.** With AI-native athenaOne, embedded AI can help flag, fix, and submit claims proactively.
**613.** The before-and-after difference of moving from a legacy RCM system to an AI-native one is tangible: fewer manual tasks, cleaner claims, faster payments, and healthier practices and bottom lines.
**614.** With an AI-native platform like athenaOne, the revenue cycle becomes a growth engine that fuels financial stability, provider satisfaction, and patient trust.
**615.** For revenue cycle leaders: smarter automation means cleaner claims, more predictable outcomes and accelerated and more stable cash flow.
**616.** From manual billing to strategic growth with AI native athenaOne athenaOne replaces manual billing with intelligent, continuously learning workflows that deliver stronger financial outcomes and a more sustainable day-to-day for clinicians and staff.
**617.** athenaOne customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 12.
**618.** Ambient documentation and coding: Clinical conversations generate notes that support providers in complying with clinical documentation requirements, as well as real-time, accurate billing codes for more complete revenue capture and seamless information sharing from the encounter to the claim.
**619.** Claim rules are updated for every practice on the network and help prevent rejections or denials before submission.
**620.** 8% reduction in insurance-related denials 4 35% reduction in insurance-related claim holds 5 78% median patient pay yield 6 At athenahealth, we’re committed to the goal of helping practices drive a 50-70% reduction in administrative workload for clinicians and billing staff.
**621.** Powerful AI-models generate draft clinical notes automatically, ICD-10 codes are applied in the background and surfaced to the claims engine.
**622.** AI agents work behind the scenes to help prevent denials upstream and streamline payer follow-up , allowing staff to focus on patient service, scheduling, and growth.
**623.** Native AI will help update payer rules update in real time across the network.
**624.** EOBs can be automatically analyzed against contracts, and fee schedules will be updated to mitigate the lesser-of rule, helping ensure the right procedures are billed at the full amount and paid properly and promptly.
**625.** Many organizations are evaluating whether to stay with traditional billing systems, adopt a partial AI tool, or move to a fully AI-native platform that learns and adapts in real time.
**626.** Let’s break down six fundamental factors in revenue cycle operations and look at how they work on AI-native intelligent systems, traditional RCM processes, and partial-AI legacy systems with added features.
**627.** AI-native athenaOne levels up our already industry leading comprehensive documentation services and claims processing services, systematically moving from the clinical record to the reimbursement.
**628.** The results from these efficiencies are real: using AI-powered workflows has led to a 35% reduction in insurance-related claim holds 3 and a 12.
**629.** Why AI-native RCM matters in today’s market At first glance, the difference between traditional RCM, partial AI add-ons, and a fully AI-native platform may look like degrees of automation.
**630.** AI-native RCM changes the equation.
**631.** Only athenaOne, as a true AI-native platform, automates the revenue cycle end to end, prevents denials upstream, and continuously learns from the largest connected network in healthcare.
**632.** In today’s environment, the real question isn’t whether to use AI in billing — it’s whether your system is truly AI-native and built for what comes next .
**633.** The real differences between RCM models show up in how they handle the fundamentals: architecture, automation, denial prevention, and financial outcomes.
**634.** Depth of automation Legacy systems remain heavily manual, with staff coding, submitting, and following up on claims – that can result in cascading rejections, denials, and appeals.
**635.** org/aha-center-health-innovation-market-scan/2024-04-02-payer-denial-tactics-how-confront-20-billion-problem Based on athenahealth data for 12 months ending March 2025; results compared to competitors' self-reporting of clean claim submission rates; M164 Based on athenaOne data between July 2023 – June 2025, customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 35% reduction in patient insurance related rule-hold rates on those claims compared to their claims with new insurance policies created without using the Automated Insurance Selection workflow; M242 Based on athenahealth data for 12 months ending June 2025.
**636.** Partial AI vendors may automate discrete steps like eligibility verification or EOB processing, but workflows still break down when exceptions or denials occur.
**637.** Partial AI solutions may predict some denials pre-submission, but they lack visibility across a wide payer network.
**638.** At athenahealth, our goal is to prevent claim denials entirely, and the 29K+ rules in our intelligent system are helping practices drive denials down.
**639.** athenaOne applies AI directly to remits and contracts, flagging underpayments and outdated fee schedules automatically.
**640.** Partial AI RCM can automate some steps, but because learning is siloed, results vary widely and problems resurface.
**641.** Chart Assistant with Sage directly addresses this challenge by serving as an AI-powered clinical aide that can help simplify pre-encounter preparation .
**642.** But leveraging AI-native capabilities within the EHR helps bring the idea of intelligent interoperability to fruition.
**643.** The AI-native Advanced Intelligence Layer in athenaOne empowers AI to standardize incoming data streams and distill them into clinically relevant insights within a single, integrated platform.
**644.** Chart Assistant with Sage doesn’t merely aggregate external data—it utilizes generative AI to synthesize and provide clinicians with faster access to relevant information to clinical queries in real time.
**645.** By combining the power of generative AI with a deep understanding of clinical workflows, it can help deliver smarter, faster, and more precise access to patient information—enabling physicians to spend less time on paperwork and more time on patient care .
**646.** At athenahealth, we’re excited to introduce Chart Assistant with Sage™, the AI assistant in athenaOne ® designed to enhance clinicians’ experience by transforming how they prepare for patient visits.
**647.** Sage, our trusted AI assistant, functions like a chatbot embedded in the bottom right-hand corner of patient charts.
**648.** The AI assistant can respond to questions and generate quick summaries, which can help reduce time spent searching for key information in the chart.
**649.** Chart Assistant with Sage has the ability to swiftly sift through and access discreet external patient details, which can help reduce the issue of incomplete problem lists.
**650.** The AI clinical aide to help clinicians navigate patient charts Chart Assistant with Sage is poised to usher in a new era regarding how physicians interact with clinical data within athenaOne.
**651.** Physicians gain a trusted partner to help navigate complex data, simplify documentation, and improve the quality of every patient interaction.
**652.** Find out how AI-powered fax labeling helps your team focus on what matters most: delivering care.
**653.** Why AI-powered predictive labeling matters for healthcare The administrative burden in healthcare is well-documented and often cited as a leading cause of clinician burnout.
**654.** From manual sorting to intelligent automation We introduced the Predicted Document Labels for Admin Documents in the Summer 25.
**655.** More than saving clicks: real benefits for practices While the click reduction is easy to measure, the bigger value is in what this automation enables: Faster turnaround for patient care – Documents get routed to the right person sooner, so follow-up can happen without delay.
**656.** Seamless workflow integration – No extra software, no new log-ins — just smarter automation where you already work.
**657.** Over time, this kind of automation doesn’t just save minutes per document, it reshapes daily workflows , creates more predictable processes, and contributes to a smoother patient experience.
**658.** At athenahealth, we’re turning that process on its head by leveraging the power of AI to help label incoming admin faxes.
**659.** If the model identifies an accurate label, AI will automatically apply it to the document.
**660.** If the AI feature can’t confidently predict an accurate label, it will clearly indicate lower confidence in the accuracy of the labels provided.
**661.** Early results: efficiency in action Between the utilization of Document Services AI workflow and the new Predicted Document Labels for Admin Documents, we’ve already seen measurable efficiency gains : 89% reduction in document processing time by using Document Services AI workflows.
**662.** More accurate categorization – AI can apply the labels automatically but also learns from manual inputs for more consistent categorization, minimizing errors that can slow care or create compliance risks.
**663.** But we’re already seeing physicians begin to embrace AI in helping reduce administrative burden — and with good reason.
**664.** Find out more about how we’re committed to providing smart, adaptable AI innovations that can improve operational functions and help practices scale up.
**665.** The AI capabilities within athenaOne help maintain the integrity of structured patient data by continuously organizing and updating patient data within authorized workflows.
**666.** PI & meaningful use AI in healthcare healthcare regulations athenahealth products EHR data security regulatory compliance patient communication multi-specialty primary care health system independent medical practice medical start-up More PI & meaningful use resources Previous athenahealth November 13, 2024 PI & meaningful use The 3 stages of Meaningful Use in healthcare Each level aims to help expand EHR’s for providers to supply better outcomes to patients Read more Erika Christiansen May 02, 2025 6 min read PI & meaningful use The power of interoperability for FQHCs Learn how Mountain Laurel Medical Center transformed patient care with athenaOne’s cloud-based EHR system.
**667.** Read more athenahealth November 13, 2024 PI & meaningful use The 3 stages of Meaningful Use in healthcare Each level aims to help expand EHR’s for providers to supply better outcomes to patients Read more Erika Christiansen May 02, 2025 6 min read PI & meaningful use The power of interoperability for FQHCs Learn how Mountain Laurel Medical Center transformed patient care with athenaOne’s cloud-based EHR system.
**668.** Ambient models help provide comprehensive encounter documentation Ambient clinical documentation leverages AI-powered ambient listening to unobtrusively capture the entire patient visit.
**669.** If your practice is considering AI-powered documentation innovations, ambient clinical documentation offers a scalable, efficient, and clinician-friendly solution designed to improve workflows and maximize reimbursement integrity.
**670.** Explore how Ambient Notes and AI-native athenaOne can help your organization embrace the promise of artificial intelligence to transform your clinical documentation and billing processes.
**671.** This automation can help reduce errors from manual coding and speed up documentation review.
**672.** Fortunately, advanced AI innovations like ambient clinical documentation are emerging as practical solutions to help clinicians capture necessary codes, orders, and procedures during patient visits while generating thorough encounter summaries.
**673.** Here's how ambient clinical documentation works and why it holds promise for improving billing accuracy.
**674.** Ambient clinical documentation potentially solves this problem by integrating AI that listens, transcribes, and contextualizes the entire clinical encounter, facilitating a full clinical record.
**675.** Ambient scribes such as athenahealth Ambient Notes document every detail discussed during the encounter, providing clinicians and billing staff with a holistic view of the clinical narrative.
**676.** Without Ambient Notes, Dr.
**677.** But with the ambient AI scribe documenting every aspect of the visit, the technology recorded and integrated these crucial details into the clinical note.
**678.** Furthermore, ambient AI models are evolving to do more than just transcribe conversations.
**679.** Improving accuracy in documentation and billing Ambient clinical documentation holds significant promise for improving not only billing accuracy but also clinical and administrative workflows.
**680.** Here’s how: Recenter the clinician-patient interaction: Ambient documentation eliminates the need for constant typing or clicking, allowing clinicians to maintain eye contact and engage more deeply with patients.
**681.** Capture every detail reliably: Unlike manual notes that may omit certain details due to time constraints or cognitive overload, ambient AI can capture all relevant conversation elements – and as Smith said, do so accurately.
**682.** Smith said that, after using Ambient Notes, she’s “closer to 90-100% same-day completion” for closing clinical encounters.
**683.** * Auto-populate diagnosis codes and orders: By using natural language processing and clinical intelligence, ambient models suggest and insert appropriate ICD-10 codes and orders into the clinical note.
**684.** Another advantage to Ambient Notes is its customizable approach.
**685.** Moreover, as ambient clinical documentation continues to evolve, integration with broader EHR functionality—such as clinical decision support, population health management, and compliance monitoring—can enhance the value of this technology for both small practices and large healthcare enterprises.
**686.** Adopting ambient clinical documentation solutions invests in clinician well-being, patient experience, and financial health of healthcare organizations.
**687.** Fuller clinical notes for optimized billing Medical billing fueled by ambient clinical documentation represents a potential step forward for clinical practice management .
**688.** By reducing administrative overhead, allowing clinicians to focus on patients, and improving billing accuracy, ambient AI tools like Ambient Notes can help empower healthcare providers to work towards optimizing care delivery and revenue outcomes simultaneously.
**689.** Leveraging AI solutions that can document encounters while automating diagnosis codes and orders helps enable providers to place more focus on patients during the encounter, which can help foster a strong patient-provider relationship and contribute to increased satisfaction.
**690.** This comprehensive, AI-enabled documentation capability means that clinical notes become a rich, multi-dimensional record that supports more robust claims.
**691.** Clinicians may feel confident that they are submitting claims that fully represent the care delivered, which can help maximize reimbursement and minimize revenue loss due to undercoding or missed services.
**692.** Artificial intelligence has long promised to help, but now the results are in: AI in healthcare is providing measurable benefits.
**693.** Across athenahealth’s network of participating practices, AI-native athenaOne® is already producing gains in clinical documentation efficiency, billing accuracy, and operational throughput.
**694.** Each capability — whether it’s our Chart Assistant with Sage™, ChartSync, or AI-powered tools for prior authorization, coding, and denials management — capitalizes on the foundational Advanced Intelligence Layer in athenaOne.
**695.** At Thrive 2025, we unveiled our proprietary ambient solution, athenaAmbient ™ in addition to showcasing Chart Assistant with Sage ™  during a demo of the AI-native encounter .
**696.** Together, these AI-native capabilities can  help keep documentation and data integrity aligned for less after-hours charting while aiding faster billing readiness , empowering clinicians to end their day on schedule.
**697.** Together, these AI-driven capabilities are already improving on that industry leading clean-submission rate by leveraging end-to-end automation to help improve accuracy.
**698.** Meanwhile, our AI-powered claims engine scrubs and flags claims to help support complete claim submission.
**699.** Why? Several statistics highlight the value of AI-powered fax labeling in helping improve document management efficiency.
**700.** Because the platform is cloud-based and AI-native, new features are rolled out automatically when they become available.
**701.** Proof that AI-native EHR and RCM tools are working  AI-native technology is now proving its value across every dimension of practice performance.
**702.** Next steps Explore AI-native athenaOne®: See the platform in action → (request a demo) Learn about Chart Assistant with Sage and athenaAmbient: Visit our AI native solutions page → Join early-access programs: Connect your athenahealth Customer Success Manager AI in healthcare More AI in healthcare resources Previous Marty Fenn February 19, 2026 6 min read AI in healthcare Using AI triage systems to keep patients engaged AI triage systems meet patients at the front door of care and free up time for admins.
**703.** What’s more, Robotic Process Automation (RPA) is becoming a thing of the past.
**704.** The Automated Insurance Selection workflow in athenaOne uses AI OCR to help identify and automate insurance selection upon uploading of patient insurance cards.
**705.** Practices using the Automated Insurance Selection workflow have seen a 15.
**706.** athenaOne customers using the Automated Insurance Selection workflow see a 35% reduction in insurance-related rule-holds for claims compared to manual insurance selection 8 – accelerating revenue cycles and bolstering the case for leveraging AI RCM tools.
**707.** This scale gives every participating practice the advantage of collective intelligence—where insights learned from millions of encounters translate into smarter, faster, and more reliable workflows and payments across the network.
**708.** athenaOne customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 15.
**709.** 6% reduction in patient insurance-related denials on those claims compared to those using other methods; M236 Based on athenaOne data between July 2023 – June 2025, customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 35% reduction in patient insurance related rule-hold rates on those claims compared to their claims with new insurance policies created without using the Automated Insurance Selection workflow; M242 Based on athenahealth data for 12 months ending Dec.
**710.** 60% of clinicians close more encounters within one day Clinicians using Ambient Notes are seeing increased efficiency in closing same-day encounters.
**711.** Practices can also join alpha and beta programs , gaining early access to emerging features such as athenaAmbient.
**712.** Schedule a demo today Based on athenahealth data as of May 2025 for providers who onboarded on Ambient Notes from Feb-May 2025, with three months of consistent Ambient Notes usage and at least 10 encounters per month; M264 Based on athenahealth median data as of Dec.
**713.** That means every AI-enabled tool learns from real encounters and claims to deliver tangible improvements for the organizations that use them every day.
**714.** The following 9 data points show how AI capabilities in athenaOne are helping practices reclaim time, strengthen financial stability, and improve the patient experience without additional technology burden.
**715.** Additionally, AI can help enhance billing efficiency via Express Coding to help accelerate reimbursement cycles.
**716.** 30% payment recovery improvement for coding-related denials There’s also value in utilizing intelligent AI to help with resubmitting claims when a coding-related denial occurs.
**717.** 3   Additionally, AI will provide Automated Write-Off Advice by identifying charges that may not be recoverable – helping reduce work related to denials management while also helping to give a clearer picture of net collection rate and aging AR.
**718.** 6 Verifying patient insurance and ensuring correct insurance details on file is another crucial component in helping prevent denials upstream.
**719.** While this pause is critical to send clean claims and help prevent denials, too many holds can slow down your revenue cycle and create a backlog for billing staff.
**720.** This feature automatically initiates patient outreach to obtain the insurance card image before or after an appointment and triggers Automated Insurance Selection.
**721.** 315 million claims processed annually athenahealth processes more than 315 million claims every year, 9 creating a feedback loop that helps to continuously strengthen the AI models behind athenaOne.
**722.** Each transaction contributes to training algorithms that recognize payer behavior, detect denial trends, and predict claim outcomes with increasing accuracy.
**723.** 89% reduction in document processing time athenahealth has utilized AI in helping automate document processing for incoming external faxes for several years.
**724.** AI-powered “nudges" from athenaOne® can help healthcare organizations improve revenue cycle management (RCM) and deliver patient-centric care.
**725.** AI-native athenaOne will use ambient AI to help extract vital information during the patient visit.
**726.** AI-powered nudges help in such time-constrained situations.
**727.** AI-native athenaOne analyzes trends in payers' claim processing and can nudge billing staff to follow up on unresolved claims based on expected processing timeframes.
**728.** By streamlining RCM, AI-driven nudges can help claims get paid on the first pass—and boost the financial health of medical practices.
**729.** An ongoing plan to mind the care gaps With an integrated system like athenaOne, AI-powered nudges in clinical and RCM workflows can help clinicians and administrative staff close care gaps, improve claims' accuracy, and strengthen documentation.
**730.** Trust matters in healthcare, and the AI-native athenaOne uses that trust as a guiding principle.
**731.** 3 AI technology can assist clinicians and administrative staff in attending to documentation and other procedural details on time and without compromising care.
**732.** Subsequently, native AI can help notify clinicians with context-aware follow-up recommendations.
**733.** AI reminders for follow-ups on patient care Such AI reminders are particularly helpful at a time when physicians might already be stretched thin.
**734.** services: What AI is forcing healthcare to rethink The discussions surrounding artificial intelligence often present as a clean break from the past.
**735.** The challenge is determining where AI-driven efficiency helps — and where human interaction remains essential.
**736.** The promise of this moment is significant — AI-powered services, connected to the healthcare ecosystem, can unlock real shifts in care — physicians gaining more choice in their practice, supported by services that travel with them rather than institutions that constrain them.
**737.** That work doesn’t disappear, but it can be delivered more efficiently and at a lower cost through automation.
**738.** Reducing administrative cost through automation, allocating work more effectively across care teams, and being deliberate about how physician time is used are essential steps toward sustainability.
**739.** The AI shift has evolved this into “AI-enabled services.
**740.** When an AI agent can automate work directly — whether that’s administrative tasks, coordination, or decision support — the line between product and service starts to blur.
**741.** AI creates an opportunity to scale the “backstage” of healthcare: the workflows, preparation, coordination, and follow-up that enable care to happen and get paid for.
**742.** By the same token, different AI models and their downstream agents are optimized for specific tasks — so the ability to connect multiple agents into a cohesive service or outcome is also critical.
**743.** But practices are beginning to explore the potential value of AI-powered patient engagement capabilities in helping to bridge the gap between patient expectations and practice capacity.
**744.** 1 One of the capabilities making an impact on the patient experience is AI-powered triage.
**745.** What is AI triage? AI triage refers to the use of artificial intelligence to assess, categorize, and route incoming patient communications (most often via text message) based on context, intent, and urgency.
**746.** Support for closing care gaps AI-powered tools that help streamline patient communication and operational workflows can support broader care gap initiatives.
**747.** AI triage offers practices a way to meet these expectations by aligning automation with patient needs and operational realities.
**748.** By combining thoughtful automation with human oversight, practices can strengthen engagement from the very first interaction.
**749.** An intelligent AI assistant will be available 24/7 to provide instant, friendly responses to common inquiries.
**750.** Unlike traditional chatbots or keyword-matching systems, modern AI triage systems can be context-aware, meaning they can use Natural Language Processing (NLP) to identify key terms and patterns.
**751.** Because the system can interpret natural language and recognize intent, responses feel more tailored and relevant than what patients would get from static FAQs or generic chatbots.
**752.** According to athenahealth’s recent AI frontlines of care report, 69% of respondents believe AI helps clinicians engage more with patients; and 47% of respondents use AI to assist with patient intake or check-in.
**753.** Let’s discuss how AI triage can help guide patient access to either the information they need or to the right area within a practice as a digital-first entry point.
**754.** In patient engagement workflows, AI triage can help determine: What a patient is asking, including the intent behind the query.
**755.** Incoming text messages or phone calls to practices are fielded by AI assistants that provide patients with immediate communications to help directly answer questions or provide clarity on next steps.
**756.** Rather than generating open-ended answers, deterministic AI triage follows structured protocols that help ensure routine questions are answered automatically, while more complex or sensitive inquiries are flagged for human review.
**757.** How AI triage connects to the patient experience Most patient engagement tools help people stay connected after they’ve entered the system.
**758.** Instead of forcing patients to choose the wrong path—or abandon the process altogether—AI triage helps provide direction from that first interaction.
**759.** Use cases: How medical practices use AI triage Early adopters across the healthcare landscape can use AI triage to help address several practical engagement and access challenges: Automating initial patient engagement by interpreting inquiries, clarifying intent, providing answers, or routing patients to the proper access points.
**760.** Rather than generating open-ended answers, deterministic AI triage follows structured protocols that help ensure routine questions are answered automatically, while more complex or sensitive inquiries are flagged for human review Benefits of AI triage for patients and practices AI triage can unlock several meaningful benefits 2 on both sides of the care equation.
**761.** Faster, clearer communication For patients, AI triage enables immediate responses to common questions without waiting on hold or navigating tangled phone trees.
**762.** Health systems that deploy AI to automate administrative tasks and improve data-driven communication may see improvements in care efficiency , which is key to closing gaps in preventive care and chronic care management.
**763.** Some AI triage technologies are also showing promise in terms of risk assessment 3 and helping improve patient flow.
**764.** By reducing friction at the initial stage of inquiry, AI triage can play a foundational role in helping prevent patients from disengaging before preventive or chronic care opportunities even surface.
**765.** AI triage in athenaOne® Patient Conversations Within athenaOne , AI triage is embedded into Patient Conversations to help practices manage patient-initiated communication more effectively by seamlessly combining two-way texting and secure web chat.
**766.** Read more Next Empower your practice AI powered patient engagement Learn how AI tools can help improve patient loyalty and outcomes.
**767.** This type of disconnected care can create myriad issues that include: Fragmented medical records across multiple unconnected systems Medication conflicts when PCPs can't see prescriptions from retail care visits Duplicate testing that wastes time and money Delayed diagnoses due to incomplete patient histories So, can continuity of care improve patient outcomes? Most definitely, yes, and here's how technology can help.
**768.** Rather, it is software that acts as an intelligent bridge, connector, and guide for AI models and targeted tools, databases, or data sources.
**769.** Consulting generative AI about health is less an abstract concept than an actualized consumer trend.
**770.** What is an MCP server?  An MCP server itself is not generative AI.
**771.** How an MCP server functions as a secure AI connection touchpoint  At its core, an MCP server acts as a secure connection touchpoint between generative AI systems and clinical data environments.
**772.** The core service provided by MCP technology is the ability to translate natural language requests into the appropriate tool which then retrieves the appropriate data.
**773.** When a generative AI model submits a request (for example, to retrieve recent lab results) based on consumer input, the MCP layer evaluates that request against predefined access policies .
**774.** The MCP server grounds generative AI in actual data and defined processes, thereby helping to reduce the risk of hallucination.
**775.** Interactions (requests) between the MCP and generative AI models can be logged and audited, giving organizations insight into how AI is being used across clinical and patient-facing environments.
**776.** Patients are using generative AI tools for information-seeking.
**777.** Preparing for the next phase of AI in healthcare  Generative AI is becoming part of how patients seek information and how clinicians manage workflows.
**778.** A real-world scenario: AI-assisted lab interpretation within secure boundaries Consider a patient reviewing recent bloodwork who wants clarification.
**779.** By establishing a defined endpoint for AI access, we’re looking to provide healthcare organizations with a tool that helps them immediately implement proactive infrastructure design as consumer AI continues to grow.
**780.** gov/articles/PMC12374212/ 3 United States of Care and athenahealth report: Artificial Intelligence (AI) in Healthcare: Patient and Physician Perspectives 4 https://www.
**781.** Instead of waiting for a call from their clinician, some patients may open a generative AI (GenAI) tool and ask, “What does this mean?" Past studies have shown that 96% of patients ideally want immediate access to their medical records 1 .
**782.** " Generative AI can prove fast, conversational, and available around the clock, filling the gap between when results are released and when follow-ups occur.
**783.** The benefits of secure, platform-integrated AI When generative AI can connect to patient portals, messaging tools, and clinical workflows, it can help deliver explanations at the moment lab results are released because it has access to more data.
**784.** When implemented responsibly, AI can help improve patient understanding while easing clinician workload.
**785.** 7 In one study, AI models accepted nearly all incorrect medical assumptions they were given, prioritizing helpful-sounding responses over factual accuracy.
**786.** This software can act as a secure and intelligent bridge that ingests requests from consumer AI and helps governs what information the models can use in their response to a patient query.
**787.** Platform-integrated AI helps keep those conversations inside secure systems, so sensitive health information doesn't leave trusted channels.
**788.** Platform-integrated AI can draw from available patient information to help provide more relevant context when supporting lab communication.
**789.** Clear boundaries between education and diagnosis Healthcare-grade AI should help support communication — not replace clinical judgment.
**790.** A trusted tool clinicians can use to improve lab communication at scale When embedded within secure patient engagement platforms, AI can help practices manage lab-related communication more consistently and efficiently.
**791.** By embedding secure, healthcare-grade AI directly into athenaOne, athenahealth can help support clear lab communication for patients through "always-on" patient engagement tools that provide 24/7 access to AI assistants.
**792.** In this future, AI doesn't replace the patient-provider relationship — it helps strengthen it.
**793.** Dede Arnold, Chief Financial Officer, Tarpon Interventional Pain and Spine Care clinical efficiency independent medical practice pain management practice management More clinical efficiency resources Previous clinical efficiency Automation drives efficiency and operational success for large health system 24K reduction in paper claims monthly 99% EDI claims rate Read more Erika Christiansen February 25, 2026 5 min read clinical efficiency PrimeCare Community Health Stays Agile and Strategic with Data Learn how PrimeCare Community Health’s behavioral health leaders use athenaOne data to stay adaptive.
**794.** 5M average increase in collections per year over first four years Read more clinical efficiency Automation drives efficiency and operational success for large health system 24K reduction in paper claims monthly 99% EDI claims rate Read more Erika Christiansen February 25, 2026 5 min read clinical efficiency PrimeCare Community Health Stays Agile and Strategic with Data Learn how PrimeCare Community Health’s behavioral health leaders use athenaOne data to stay adaptive.
**795.** 5M average increase in collections per year over first four years Read more clinical efficiency Automation drives efficiency and operational success for large health system 24K reduction in paper claims monthly 99% EDI claims rate Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**796.** Kyle Young, Commonwealth Pain & Spine Patients use NeuroFlow wellness and pain tracking app with athenaClinicals integration The organization turned to the athenahealth Marketplace and partnered with NeuroFlow, a reimbursable patient-facing mental wellness and pain tracking tool helping clinicians and care teams remotely monitor and engage with a patient’s mental wellbeing in between appointments and/or televisits.
**797.** In the first three months, Commonwealth submitted an additional $70,000 in claims Commonwealth Pain now has a tool that works directly with athenaClinicals and enables measurement-based treatment and care coordination.
**798.** marketplace partner independent medical practice pain management behavioral health More marketplace partner resources Previous marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.

## 📊 PERFORMANCE CLAIMS (133 found)

**1.** marketplace partner affiliate practice pain management remote patient monitoring More marketplace partner resources Previous marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**2.** marketplace partner affiliate practice pain management growing my practice More marketplace partner resources Previous marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**3.** 82% referral-to-appointment conversion (up from 70%) 100% patient contact within 24 business hours 67% Increase in outreach attempts across multiple channels Growth exposed gaps in referral intake, follow-up, and visibility Clearway Pain Solutions is a leading integrative pain management organization dedicated to improving patients’ quality of life through coordinated and compassionate pain management care.
**4.** Referral to appointment conversion has increased from 70% to 82%.
**5.** marketplace solutions AI in healthcare athenahealth products marketplace partner patient communication clinical efficiency reducing admin burden More marketplace solutions resources Previous primary care Empowering patients through ChartSpan’s Chronic Care Management $26,500 monthly net revenue increase for Abilene 290 hours of staff time saved per year Read more marketplace solutions Scaling access to male fertility care with LeadSquared 7X revenue growth with the same team size 20+ percentage points improvement in conversion rates Read more reducing admin burden Improving intake, efficiency, and the patient experience with Yosi Health $35,000 projected annual cost savings 10 minutes saved on admin per appointment 98% intake forms completed online before arrival Read more athenahealth September 30, 2025 6 min read athenahealth products What is athenahealth marketplace? The athenahealth app marketplace delivers integrated healthcare tech.
**6.** Read more primary care Empowering patients through ChartSpan’s Chronic Care Management $26,500 monthly net revenue increase for Abilene 290 hours of staff time saved per year Read more marketplace solutions Scaling access to male fertility care with LeadSquared 7X revenue growth with the same team size 20+ percentage points improvement in conversion rates Read more reducing admin burden Improving intake, efficiency, and the patient experience with Yosi Health $35,000 projected annual cost savings 10 minutes saved on admin per appointment 98% intake forms completed online before arrival Read more athenahealth September 30, 2025 6 min read athenahealth products What is athenahealth marketplace? The athenahealth app marketplace delivers integrated healthcare tech.
**7.** Read more primary care Empowering patients through ChartSpan’s Chronic Care Management $26,500 monthly net revenue increase for Abilene 290 hours of staff time saved per year Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**8.** ” Results for Beaufort include 40% patient portal adoption, 30% increase in patient registration rates, and successful expansion to serve previously underserved rural communities.
**9.** Over a quarter (26%) of physicians surveyed think AI may help to reduce physician burnout.
**10.** 2 And research shows that their patients think the same—according to a separate survey fielded by Dynata, more than half of patients surveyed believe AI will be part of the solution in healthcare, and 42% believe AI can help improve patient health outcomes.
**11.** 77% of physicians surveyed say a significant portion of their time is dedicated to non-reimbursable tasks like prior authorization or administrative-related workload 7 , so the potential to create new efficiencies, increase productivity, and increase revenue with the help of AI is massive.
**12.** According to our recent Physician Sentiment Survey, 42% of respondents specified that identifying patterns and anomalies in patient data was a key benefit of using AI technology, and 39% noted benefits in reducing administrative burdens and streamlining tasks.
**13.** While the majority of physicians we surveyed credit their EHR with helping them provide high-quality care (65%) and improve their efficiency (54%), many physicians also feel so overloaded with information that it increases their stress level (63%).
**14.** reducing admin burden AI in healthcare patient communication healthcare & burnout More reducing admin burden resources Previous reducing admin burden Four clinics reduce prior authorization time, enhancing financial stability Read more reducing admin burden Improving intake, efficiency, and the patient experience with Yosi Health $35,000 projected annual cost savings 10 minutes saved on admin per appointment 98% intake forms completed online before arrival Read more reducing admin burden An orthopedic practice enhances clinical efficiency vital for daily operations 28 days avg.
**15.** 185 billing staff to every one provider Read more reducing admin burden Four clinics reduce prior authorization time, enhancing financial stability Read more reducing admin burden Improving intake, efficiency, and the patient experience with Yosi Health $35,000 projected annual cost savings 10 minutes saved on admin per appointment 98% intake forms completed online before arrival Read more reducing admin burden An orthopedic practice enhances clinical efficiency vital for daily operations 28 days avg.
**16.** 21% of survey respondents said they are pessimistic about the future of AI in healthcare, 39% were optimistic, and another 41% aren’t yet sure.
**17.** In fact, 64% of physicians surveyed say they are overwhelmed by administrative requirements and burdens, and 91% say the burden of regulatory requirements is getting worse.
**18.** Physicians are also overwhelmed by excessive patient communications — 60% say they are expected to be available “all hours of the day, every day of the week.
**19.** And keeping a strong emphasis on safety may also help win over the 41% of physicians who aren’t sure about the future of AI in healthcare.
**20.** , 39% of physicians said they believe healthcare AI has the power to reduce administrative burdens and streamline tasks.
**21.** In fact, 35% of physicians surveyed listed increased efficiencies as a key benefit of healthcare AI .
**22.** 34% of physicians surveyed said that a leading potential benefit of AI is improved accuracy of patient diagnoses.
**23.** athenaOne's ChartSync streamlines clinical workflows by parsing, deduplicating and surfacing external patient data, while Document Services scans incoming faxes to extract critical information and improve accuracy in patient records – reducing processing time by 91%.
**24.** More than one-third (37%) of medical groups report patient no-show rates have increased in 2023.
**25.** 5 Many healthcare organizations have heard that message loud and clear, with 66% of medical practices adding or improving patient self-service tools like scheduling, online bill pay, and more in the past year.
**26.** closing care gaps telehealth patient communication patient engagement More closing care gaps resources Previous closing care gaps Data visibility helps population health practice grow value-based care programs 50% reduction in effort managing quality data 4 care gaps on track to receive 5 stars Read more Downloadable closing care gaps Closing care gaps with AI: A practical guide for medical practices Discover proven strategies to improve patient outcomes, reduce no-shows, and succeed in value-based care.
**27.** 1M in cost care savings in 2024, a 12x YoY improvement from 2023 Read more closing care gaps A foundation to build on 15% of appointments made online, saving time for patients and staff 12,000 care gaps closed in a 6-week campaign that saved 125 days of work Read more closing care gaps Data visibility helps population health practice grow value-based care programs 50% reduction in effort managing quality data 4 care gaps on track to receive 5 stars Read more Downloadable closing care gaps Closing care gaps with AI: A practical guide for medical practices Discover proven strategies to improve patient outcomes, reduce no-shows, and succeed in value-based care.
**28.** 1M in cost care savings in 2024, a 12x YoY improvement from 2023 Read more closing care gaps A foundation to build on 15% of appointments made online, saving time for patients and staff 12,000 care gaps closed in a 6-week campaign that saved 125 days of work Read more closing care gaps Data visibility helps population health practice grow value-based care programs 50% reduction in effort managing quality data 4 care gaps on track to receive 5 stars Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**29.** Reducing Administrative Burdens: 39% of doctors surveyed feel AI can streamline tasks such as charting and documentation – including during the patient visit – allowing them to focus more on patient care.
**30.** Improving Diagnostic Accuracy: 34% of physicians believe AI could aid in achieving more accurate diagnoses.
**31.** This optimistic outlook is particularly pronounced among younger physicians (under 50), non-white physicians, and male physicians, with 52%, 45%, and 43%, respectively, viewing AI as a beneficial force in the medical field.
**32.** Increasing Efficiency: 35% of physicians taking the survey feel AI could enhance overall healthcare efficiency, much like in other industries where rote and repetitive tasks can be completed by the machine.
**33.** For instance, 37% of AI optimists feel the field is heading in the right direction, compared to just 24% of AI pessimists.
**34.** This optimistic group is also less likely to experience burnout from common stressors in the medical field, such as excessive documentation (56% vs.
**35.** athenaEDI & IDX claims denials delayed revenue cycle financial stability medical coding & billing reducing admin burden regulatory compliance multi-specialty urgent care internal medicine health system independent hospital More athenaEDI & IDX resources Previous collecting patient pay SIU Medicine Revamps Patient Payment Collection with athenaEDI™ Text to Pay 58% of total collections received within 14 days 167% growth in patient revenue MoM Read more Siva Nandivada February 27, 2026 5 min read RCM How AI is solving enterprise revenue cycle complexity Enterprise billing faces rising denial complexity.
**36.** Read more practice management Enhancing revenue cycle efficiencies and helping reduce denials 28% Reduction in days in AR 48% Decrease in claim lag days 90% Clean claim rate Read more data & interoperability Unlocking insights: Automated reporting delivery drives 40% greater efficiency 40% increase in reporting efficiency 100 hours of manual work eliminated per month Read more collecting patient pay SIU Medicine Revamps Patient Payment Collection with athenaEDI™ Text to Pay 58% of total collections received within 14 days 167% growth in patient revenue MoM Read more Siva Nandivada February 27, 2026 5 min read RCM How AI is solving enterprise revenue cycle complexity Enterprise billing faces rising denial complexity.
**37.** Read more practice management Enhancing revenue cycle efficiencies and helping reduce denials 28% Reduction in days in AR 48% Decrease in claim lag days 90% Clean claim rate Read more data & interoperability Unlocking insights: Automated reporting delivery drives 40% greater efficiency 40% increase in reporting efficiency 100 hours of manual work eliminated per month Read more collecting patient pay SIU Medicine Revamps Patient Payment Collection with athenaEDI™ Text to Pay 58% of total collections received within 14 days 167% growth in patient revenue MoM Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**38.** As denials and audits rise, financial health continues to be a serious concern for healthcare organizations, with over half (52%) of physicians stating they are concerned about the financial health of their organization.
**39.** 9% authorizations to completion 60% time spent on authorizations Read more prior authorization Orthopedic clinic streamlines prior authorizations to boost financial success 4 staff refocused on high-value work 1 staff dedicated to authorizations 5 day wait times, reduced from 6-8 weeks Read more prior authorization Efficient authorizations enhance patient experience Read more prior authorization Orthopedic practice turns to automation to drive efficiency with less overhead 99.
**40.** 5% authorization success rate 100% visibility into authorization process Read more prior authorization Streamlined prior authorizations, faster scheduling, and a focus on patient care 98.
**41.** 9% authorizations to completion 60% time spent on authorizations Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**42.** 1 Building on a decade of AI research and significant R&D investments, our vision for a fully AI-native helps streamline clinical workflows and reduce the administrative burden from RCM-related tasks by 50-70% percent – while improving speed, accuracy, and transparency of every financial process — from faster claims resolution to smarter payer yield management.
**43.** According to the American Medical Association , physicians reported they spend nearly two full days processing prior authorizations each week and 95% of physicians attributed prior authorization to increased physician burnout.
**44.** Using ambient AI technology in athenaOne, one orthopedic practice saw a 40% reduction in documentation time.
**45.** While we are already using AI to drive outcomes, such as cutting document processing time by 91%, reducing claim holds by 33% and decreasing insurance related denials by 13%, there is more that can be done to unlock the potential of the practice.
**46.** 4% reduction in patient insurance-related denials on those claims compared to those using other methods; M236 3.
**47.** 91% less time spent sorting and routing faxed documents Incoming documents — like faxes, referrals, and lab results — are essential to patient care, but they can quickly pile up and slow your team down.
**48.** Practices using this workflow have seen a 91% reduction in document processing time.
**49.** 45% faster clinical analysis for prior authorizations Submitting a prior authorization request often means digging through clinical notes and manually completing forms — slowing down care and tying up valuable time.
**50.** Represents average time saved by athenaOne customers using the AI-enabled Authorization Management Pre-call workflow; M237 Based on athenaOne data between July 2023 – June 2025, customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 35% reduction in patient insurance related rule-hold rates on those claims compared to their claims with new insurance policies created without using the Automated Insurance Selection workflow; Based on athenahealth data for 24-months ending June.
**51.** 6% reduction in patient insurance-related denials on those claims compared to those using other methods; M236  Individual customer results may vary.
**52.** This automation reduces the time it takes to gather and submit documentation, cutting clinical review time by 45%.
**53.** This smart, AI-driven automation has helped reduce claim holds by 35% 4 and insurance-related denials by 10.
**54.** Over two thirds, (68%) of physicians said their use of AI for clinical documentation such as ambient listening, AI scribe or smart transcription tools increased, while just 2% said it decreased.
**55.** Medium-sized practices saw the most growth, with 86% of physicians reporting increased use for clinical documentation.
**56.** Among rural physicians already using AI, nearly 9 in 10 (89%) said their use of AI documentation tools increased over the past year.
**57.** Urban and suburban physicians using AI also reported strong growth, with 66% indicating increased usage.
**58.** Among physicians using AI, 46% said their organization increased its use of clinical AI over the past year.
**59.** Among physicians already using AI, 36% said their organization increased its use for tasks like medical billing , scheduling or prior authorizations.
**60.** Physicians practicing in rural communities and larger metro areas reported similar year-over-year growth (46% and 48%, respectively).
**61.** That lack of awareness isn’t limited to medium-sized practices: 19% of AI-using physicians overall said they’re unsure if their organization uses AI for administrative tasks, and another 19% said they don’t use it in this context.
**62.** Over a third (38%) of physicians said they’re hopeful that new technology (AI) will reduce administrative burden, and 37% said they’re hopeful that it will improve patient diagnosis and care.
**63.** Additionally, their worries about this technology being overhyped have decreased from 40% last year to less than a third (27%) this year.
**64.** Additionally, over a third (38%) of physicians said they’re hopeful about the benefits of AI in healthcare —that new technology (AI) will reduce administrative burden , and 37% said they’re hopeful that it will improve patient diagnosis and care.
**65.** The biggest benefits? Clinical documentation and ambient notetaking show clear growth above the rest Among physicians who are already using artificial intelligence in their practice, 68% reported their use of AI for generating clinical documentation increased, a strong indicator that this use case is a popular one for those familiar with the technology.
**66.** However, only 36% of physicians reported that their use increased for administrative tasks.
**67.** Over half (58%) of younger physicians see streamlined administrative tasks as a key improvement compared to just 43% of older physicians.
**68.** Similarly, younger physicians are more likely to view increased healthcare efficiencies (54%) and reduced physician burnout (45%) as core benefits, compared to just 37% and 28% respectively for older clinicians.
**69.** When we look at the nuances between geographic locations, our data shows that more physicians in urban areas believe that artificial intelligence will have a positive impact on the quality of patient care (43%) and reducing the overall cost of patient care (36%) compared to those in suburban areas (32% and 26%).
**70.** She said over 95% of her patients consented to the recording , and many of them were even excited that it meant they would spend more time talking and less time with Dr.
**71.** Before Ambient Notes, she would close an average of 0-10% of her notes same-day.
**72.** Over a third of respondents (37%) agreed that improved operational coordination with payers on these tasks would have the greatest impact on their ability to provide higher quality patient care.
**73.** More complex payment models increase operational burden Only 9% of physicians report working exclusively in a value-based care (VBC) model in the 2025 survey.
**74.** For example, our Physician Sentiment Survey found that while 83% of surveyed physicians believe AI could eventually reduce many of the problems facing healthcare, 60% cite the loss of human touch as their biggest worry regarding the use of AI, and 40% believe that AI is overhyped and cannot meet expectations.
**75.** 83% of surveyed physicians believe AI could eventually reduce many of the problems facing healthcare.
**76.** At a time when more than 40% of physicians are unsure how they feel about AI’s benefits—with 39% optimistic and 21% pessimistic—it’s clear that there’s opportunity to educate clinicians and patients alike on AI and its potential.
**77.** Only 27% of surveyed physicians believe AI to be overhyped or unable to meet expectations (down from 40% a year ago), and the majority of physicians who previously reported using AI in their practice (68%) are using it more frequently to generate clinical documentation.
**78.** ASCs can perform many of the same procedures as hospitals for 35% to 50% less.
**79.** pain management ASC More pain management resources Previous marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more pain management Building a referral-to-appointment engine with LeadSquared 82% referral-to-appointment conversion 100% patient contact within 24 business hours Read more clinical efficiency Pain practices streamline workflows to reduce administrative workload Read more marketplace partner Phreesia helps pain management practice speed up intake to optimize efficiency Read more marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more pain management Building a referral-to-appointment engine with LeadSquared 82% referral-to-appointment conversion 100% patient contact within 24 business hours Read more clinical efficiency Pain practices streamline workflows to reduce administrative workload Read more marketplace partner Phreesia helps pain management practice speed up intake to optimize efficiency Read more marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**80.** Practices will remain in control of their revenue cycle, but with 50-70% less work.
**81.** 4% reduction in patient insurance-related denials on those claims compared to those using other methods; M236 2.
**82.** From AI skepticism to strategic adoption In 2025, 68% of physicians report increased use of AI for documentation.
**83.** Many are asking: When is it appropriate to use AI for diagnosis? How much should a clinician rely on AI-generated suggestions? The growing call for regulatory action —reflected in the rise from 10% to 15% of physicians wanting elected officials to step in — signals an increasing urgency to establish national guidelines and standards for clinical AI use.
**84.** 1 The 2025 PSS shows reason for optimism: Nearly 10% fewer physicians report burnout.
**85.** Likelihood by age group of physicians seeing the potential of AI in reducing administrative work: 68% of those under 40 years of age 56% of those aged 40-64 Only 35% of those 65 and older AI in practice Today’s most accepted AI use cases in healthcare are focused on administrative and communication tasks—areas where efficiency matters, but clinical risk is minimal.
**86.** Physicians remain wary of AI in clinical decision-making Physicians are embracing AI for administrative relief but remain cautious about its clinical reliability — raising questions like ‘ How accurate is AI?’ and ‘Is AI reliable enough for diagnosis? ’ In the 2025 survey, 58% expressed concern about overreliance on AI for diagnosis , while 53% worry about potential misdiagnoses.
**87.** What other practices are doing  Contingency planning in action    According to KLAS Research, 86% of providers are already implementing contingency plans, including:  Cutting services that are no longer financially viable Tightening billing policies to reduce bad debt Reviewing Medicaid participation status, especially in high-impact states Structural and operational shifts   In response to the CMS policy shifts , many clinics are making bigger changes: Focusing on higher-revenue service lines Automating workflows and adopting AI to reduce admin burden Strengthen revenue cycle processes Sharing administrative functions across multiple practices  Stay nimble as Medicaid policy evolves   Medicaid rules and reimbursement models will continue to evolve.
**88.** Medicaid alone covers almost 50% of U.
**89.** 4% less time in notes per appointment and had a 9.
**90.** Most notably, the use of AI for clinical documentation rose by 68% between 2024 and 2025, as more clinicians turn to ambient note-taking and transcription tools to reduce after-hours charting 1 .
**91.** Physicians also see real benefits in AI’s ability to identify patterns (48%), improve documentation (48%), and reduce administrative burden (46%) 2 .
**92.** Black adults (33%) are more likely than White adults (21%) to anticipate increased bias from AI tools 7 .
**93.** 12 – Physician familiarity and 68% increase in clinical documentation AI use.
**94.** Patients report a mixed outlook: roughly equal shares identify as optimistic (26%), uncertain (27%), or concerned (26%), while only 17% feel comfortable and 15% are excited 5 .
**95.** Significant numbers of physicians worry about the loss of human interaction in care (61%), overreliance on AI for diagnosis (58%), and the risk of improper diagnosis (53%) 3 .
**96.** 17 – Patient demand for transparency (77%) and oversight (63%).
**97.** The results are compelling: Customers leveraging Automated Insurance Selection saw a 35% reduction in insurance-related rule hold rates and a 7.
**98.** 4% reduction in patient insurance-related denials.
**99.** 4% reduction in patient insurance-related denials on those claims compared to those using other methods; M236 Based on athenahealth data for 12-months ending Nov.
**100.** 68% of physicians increased their use of AI for documentation in 2025 That’s a massive year-over-year jump, showing how quickly ambient note-taking and transcription tools are becoming mainstream*.
**101.** Nearly half of physicians (48%) believe that improved clinical documentation is the biggest potential benefit of using AI in healthcare .
**102.** 61% of physicians worry AI will reduce human interaction with patients Even as adoption grows, more than half of physicians fear technology could distance them from the people they serve*.
**103.** 33% of Black adults believe AI could increase bias Concerns about bias are significantly higher among communities that have historically experienced disparities in healthcare* In the surveys, 33% of Black adults expected increased bias from AI in healthcare compared to 21% of white adults.
**104.** 26% of patients feel optimistic about AI, but 27% are uncertain and 26% are concerned The near-even sentiment split among patients shows how unsettled public opinion about AI in healthcare remains*.
**105.** 58% of physicians fear overreliance on AI — and 52% of patients worry about improper diagnoses Concerns converge between physicians and patients when it comes to clinical accuracy.
**106.** More than half of physicians (58%) are uneasy about clinicians leaning too heavily on AI for diagnosis , while over half of patients (52%) fear the technology could lead to incorrect results*.
**107.** 8% reduction in insurance-related denials 4 35% reduction in insurance-related claim holds 5 78% median patient pay yield 6 At athenahealth, we’re committed to the goal of helping practices drive a 50-70% reduction in administrative workload for clinicians and billing staff.
**108.** 7% median denial rate 3 compared to an industry average of 10-18% 12.
**109.** The results from these efficiencies are real: using AI-powered workflows has led to a 35% reduction in insurance-related claim holds 3 and a 12.
**110.** 8% reduction in insurance-related denials 4 – with greater efficiencies expected as more AI workflows are added to the Advanced Intelligence Layer and the AI continues to learn from the claims processed across our network.
**111.** org/aha-center-health-innovation-market-scan/2024-04-02-payer-denial-tactics-how-confront-20-billion-problem Based on athenahealth data for 12 months ending March 2025; results compared to competitors' self-reporting of clean claim submission rates; M164 Based on athenaOne data between July 2023 – June 2025, customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 35% reduction in patient insurance related rule-hold rates on those claims compared to their claims with new insurance policies created without using the Automated Insurance Selection workflow; M242 Based on athenahealth data for 12 months ending June 2025.
**112.** Average claim denial rates remain stubbornly above 10% 1 in most practices, payer rules shift constantly, and staff time is stretched thin by manual work.
**113.** This is why athenaOne customers see nearly half as many denials as the industry average, a 78% median patient pay yield, 5 and billions collected annually, and why we've been recognized for 19 years in Best in KLAS .
**114.** Early results: efficiency in action Between the utilization of Document Services AI workflow and the new Predicted Document Labels for Admin Documents, we’ve already seen measurable efficiency gains : 89% reduction in document processing time by using Document Services AI workflows.
**115.** 60% of clinicians close more encounters within one day Clinicians using Ambient Notes are seeing increased efficiency in closing same-day encounters.
**116.** 30% payment recovery improvement for coding-related denials There’s also value in utilizing intelligent AI to help with resubmitting claims when a coding-related denial occurs.
**117.** Practices using Coding Advice are already seeing a 30% increase in payment recoveries for coding-related denials and are accepting the AI-generated advice 40% more frequently than the prior human-generated advice.
**118.** 6% reduction in patient insurance-related denials after claims submission.
**119.** athenaOne customers using the Automated Insurance Selection workflow see a 35% reduction in insurance-related rule-holds for claims compared to manual insurance selection 8 – accelerating revenue cycles and bolstering the case for leveraging AI RCM tools.
**120.** 89% reduction in document processing time athenahealth has utilized AI in helping automate document processing for incoming external faxes for several years.
**121.** Customers using Document Services AI workflows have seen an 89% reduction in document processing time.
**122.** 6% reduction in patient insurance-related denials on those claims compared to those using other methods; M236 Based on athenaOne data between July 2023 – June 2025, customers who created claims with new insurance policies selected using the Automated Insurance Selection workflow saw a 35% reduction in patient insurance related rule-hold rates on those claims compared to their claims with new insurance policies created without using the Automated Insurance Selection workflow; M242 Based on athenahealth data for 12 months ending Dec.
**123.** In fact, 3 out of 5 providers close more encounters within one day of the visit, with an average improvement of 28%.
**124.** 1 And 41% of healthcare providers see 10% or more of their claims denied, which can lead to decreased revenue and increased financial pressures on already struggling healthcare organizations.
**125.** Up to 7% of claims are denied on first submission, with many linked to coding errors, according to the American Medical Association.
**126.** 4 Up to 65% of denied claims are never resubmitted , often due to preventable coding issues.
**127.** According to athenahealth’s recent AI frontlines of care report, 69% of respondents believe AI helps clinicians engage more with patients; and 47% of respondents use AI to assist with patient intake or check-in.
**128.** Notably, 33% of recently surveyed Black adults expect AI to increase bias in healthcare, compared with 21% of white adults.
**129.** Dede Arnold, Chief Financial Officer, Tarpon Interventional Pain and Spine Care clinical efficiency independent medical practice pain management practice management More clinical efficiency resources Previous clinical efficiency Automation drives efficiency and operational success for large health system 24K reduction in paper claims monthly 99% EDI claims rate Read more Erika Christiansen February 25, 2026 5 min read clinical efficiency PrimeCare Community Health Stays Agile and Strategic with Data Learn how PrimeCare Community Health’s behavioral health leaders use athenaOne data to stay adaptive.
**130.** 5M average increase in collections per year over first four years Read more clinical efficiency Automation drives efficiency and operational success for large health system 24K reduction in paper claims monthly 99% EDI claims rate Read more Erika Christiansen February 25, 2026 5 min read clinical efficiency PrimeCare Community Health Stays Agile and Strategic with Data Learn how PrimeCare Community Health’s behavioral health leaders use athenaOne data to stay adaptive.
**131.** 5M average increase in collections per year over first four years Read more clinical efficiency Automation drives efficiency and operational success for large health system 24K reduction in paper claims monthly 99% EDI claims rate Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**132.** 4K+ assessments completed in <90 days $37 average increase in reimbursement per patient/month 59% of patients with a reduction in depression symptoms over 3 months Remotely supporting patient behavioral health in between appointments Commonwealth Pain & Spine, a leading pain management practice with a dozen locations throughout Kentucky, Indiana, and Illinois, was seeking a solution to remotely support the behavioral health of their patients (a need exacerbated during the pandemic).
**133.** marketplace partner independent medical practice pain management behavioral health More marketplace partner resources Previous marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.

## 🚀 ROADMAP INTELLIGENCE (149 found)

### AI-Related (99):
**1.** With decades of ambulatory care experience and a continuous pipeline of new AI-native capabilities launching this year, our platform evolves alongside real customer needs, ensuring it fits clinical workflows, operational challenges, and patient engagement.
**2.** marketplace partner affiliate practice pain management remote patient monitoring More marketplace partner resources Previous marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**3.** marketplace partner affiliate practice pain management growing my practice More marketplace partner resources Previous marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**4.** Read more clinical efficiency Pain practices streamline workflows to reduce administrative workload Read more marketplace partner Phreesia helps pain management practice speed up intake to optimize efficiency Read more marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**5.** Live on athenaOne since 2021 Challenges Lacked a single, centralized referral intake system Difficulty managing growing outreach needs due to manual workflows Unable to verify insurance eligibility without switching systems Struggled to build and maintain relationships with referral partners Solutions athenahealth Marketplace partner: LeadSquared Fully integrated with athenaOne Results Strengthened and accelerated their referral pipeline through a centralized system By streamlining multiple intake channels into a single system that leverages automation to enable staff efficiency and outreach.
**6.** Read more athenahealth November 13, 2024 PI & meaningful use The 3 stages of Meaningful Use in healthcare Each level aims to help expand EHR’s for providers to supply better outcomes to patients Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**7.** Take the next step in elevating human expertise through intelligent collaboration As artificial intelligence technology keeps evolving in healthcare, we expect to see even more advanced AI solutions in our Marketplace.
**8.** So, what’s next? We’ll use AI to find new ways to deliver value and help improve care for you and your patients.
**9.** Make care easier for patients and your team An upcoming AI-powered assistant will simplify access to care by interpreting patient requests in the online portal, guiding them to the right resources, and providing personalized support based on their records.
**10.** Read more Next Dig deeper into our technology and insights Our AI-powered solution athenaOne’s embedded AI helps improve performance.
**11.** athenahealth is taking this further with an upcoming Appointment Waitlist feature.
**12.** 2 And research shows that their patients think the same—according to a separate survey fielded by Dynata, more than half of patients surveyed believe AI will be part of the solution in healthcare, and 42% believe AI can help improve patient health outcomes.
**13.** The athenaOne near-term pipeline includes a secure, two-way text messaging system where an AI agent triages incoming messages to identify intent and collect relevant information before transitioning to a human staff member when needed.
**14.** Can AI create a more optimistic future for healthcare? Physician attitudes for the integration of AI in healthcare vary widely .
**15.** 21% of survey respondents said they are pessimistic about the future of AI in healthcare, 39% were optimistic, and another 41% aren’t yet sure.
**16.** And keeping a strong emphasis on safety may also help win over the 41% of physicians who aren’t sure about the future of AI in healthcare.
**17.** These advancements will be especially transformational for smaller practices , where resources are constrained and every minute and every dollar counts.
**18.** Here are six potential opportunities to consider as your medical practice or healthcare system continues to leverage AI in your EHR, and how athenahealth might help support them, now and in the future.
**19.** Future athenaOne updates will iterate on these solutions, generating intelligent summaries across documents, charts and clinical events to help clinicians quickly access relevant insights.
**20.** “In the future, AI will benefit patients.
**21.** “As AI continues to evolve, we remain dedicated to pushing boundaries and delivering practical, impactful technologies that shape the future of healthcare.
**22.** What started as a way to digitize faxes transformed due to AI into a full data pipeline, turning healthcare’s most outdated workflows into a driver of speed, accuracy, and cost savings across the care continuum.
**23.** In the near future, AI-native athenaOne® will include an AI-enabled, two-way texting tool called Patient Conversations.
**24.** Additionally, automated patient outreach campaigns can be tailored to encourage patients to schedule their next appointment, or remind patients about outstanding bills, so you can collect more of what you’re owed with less work.
**25.** 1M in cost care savings in 2024, a 12x YoY improvement from 2023 Read more closing care gaps A foundation to build on 15% of appointments made online, saving time for patients and staff 12,000 care gaps closed in a 6-week campaign that saved 125 days of work Read more closing care gaps Data visibility helps population health practice grow value-based care programs 50% reduction in effort managing quality data 4 care gaps on track to receive 5 stars Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**26.** This highlights a growing optimism about AI’s potential to streamline workflows, enhance healthcare delivery and improve patient outcomes as well as a healthy dose of “wait and see” as what was once the future of AI in healthcare rapidly becomes present reality.
**27.** Breakout analysis of physicians who are AI optimists According to this 2023-24 survey, physicians who view AI positively tend to feel more hopeful about the future of healthcare.
**28.** Read more Downloadable athenaInstitute 2026 Physician Sentiment Survey: Healthcare's annual checkup Hear what 1,000+ physicians are saying about the future of healthcare — technology, AI, care coordination, and beyond.
**29.** Read more Stacy Simpson October 30, 2025 4 min read athenaInstitute AI in healthcare: Trust will decide its future New research reveals how patients and physicians feel about using AI in healthcare.
**30.** athenahealth conducts this survey annually and it will be interesting to see if and how physician sentiment toward AI may change over time.
**31.** This year on the mainstage, our chief product officer Paul Brient announced exciting new and upcoming capabilities, including Ambient Notes , a solution that brings the power of ambient listening and generative AI technology directly into athenaOne.
**32.** Ambient Notes will offer practices a new level of convenience, flexibility, and personalization, as practices will be able to choose and switch between industry-leading models, starting with Suki AI and iScribe AI.
**33.** Read more practice management Enhancing revenue cycle efficiencies and helping reduce denials 28% Reduction in days in AR 48% Decrease in claim lag days 90% Clean claim rate Read more data & interoperability Unlocking insights: Automated reporting delivery drives 40% greater efficiency 40% increase in reporting efficiency 100 hours of manual work eliminated per month Read more collecting patient pay SIU Medicine Revamps Patient Payment Collection with athenaEDI™ Text to Pay 58% of total collections received within 14 days 167% growth in patient revenue MoM Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**34.** No matter where you are in your value-based care journey, athenaOne can help you take your next step toward prioritizing quality and achieving the great incentives available to you.
**35.** Turning early momentum into sustained impact AI is no longer a future concept.
**36.** Early adopters are beginning to note the benefits of allowing this technology to take on day-to-day manual tasks like chart prepping and can see the future benefits of gaining time back in to focus on patient care.
**37.** This is certainly a focal point for future improvement, since this is an area where AI can provide significant value.
**38.** AI has shown promise in pattern recognition, such as spotting anomalies in x-rays and imaging, and identifying trends in patient data, but it remains unclear how physicians in the coming years will collaborate with and help train the technology in the future.
**39.** In a significant change from last year’s survey, physicians’ concerns that AI will be one more thing that will complicate healthcare decreased from 42% in 2024 down to 31% in 2025.
**40.** Our discussion centered on how artificial intelligence (AI) is transforming healthcare and how it may shape the future of care access, delivery, and regulation.
**41.** In stroke care, AI-powered algorithms are supporting treatment planning and predicting future events, enabling specialized knowledge to be shared beyond large urban health systems across communities.
**42.** The future of AI in healthcare: a crossroads AI has the potential to radically improve healthcare, but only if we do it right.
**43.** The future of AI in healthcare is still being written.
**44.** With the rise of generative AI and its use of Large Language Models (LLMs) to synthesize and create new content such as text, images, and videos, we are on the cusp of the next frontier in our ability to improve healthcare for all.
**45.** While last year’s conference centered on generative AI hype , with few applications in sight, this year showed real world impact and a more tangible roadmap of coming applications—including agentic AI .
**46.** What comes next with AI agents in healthcare As agentic AI becomes more embedded in healthcare solutions like athenaOne , the experience of delivering and receiving care will also change.
**47.** A library of EMR training tools that meet you where you are now and in the future We know that practices don’t all train the same way — and that your time with patients comes first.
**48.** When onboarding is tailored to your team, aligned with your goals, and led by people who understand your world, it sets the tone for everything that comes next.
**49.** Integration is the next big piece As more interventional pain care moves outpatient, the ability to coordinate between the clinic and ASC settings will be make-or-break.
**50.** What the future holds for pain and ASCs ASCs offer pain management practices a unique opportunity to deliver more efficient care while building financial resilience and autonomy.
**51.** For pain groups thinking about the next chapter, the question isn’t whether to explore the ASC model.
**52.** pain management ASC More pain management resources Previous marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more pain management Building a referral-to-appointment engine with LeadSquared 82% referral-to-appointment conversion 100% patient contact within 24 business hours Read more clinical efficiency Pain practices streamline workflows to reduce administrative workload Read more marketplace partner Phreesia helps pain management practice speed up intake to optimize efficiency Read more marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more pain management Building a referral-to-appointment engine with LeadSquared 82% referral-to-appointment conversion 100% patient contact within 24 business hours Read more clinical efficiency Pain practices streamline workflows to reduce administrative workload Read more marketplace partner Phreesia helps pain management practice speed up intake to optimize efficiency Read more marketplace partner NeuroFlow helps pain practice drive better clinical and financial outcomes $37 average increase in reimbursement per patient/month Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**53.** An AI-native EHR takes it a step further by predicting clinician needs, recommending next steps, and automating repetitive tasks, creating a smarter, more intuitive experience.
**54.** Importantly, this experience will be available to all clinical users, and allows them to choose whether to use the AI-native view, not use it, or go back and forth between them during a patient encounter.
**55.** Continuous innovation, a robust roadmap and data-driven rollout, at the pace of practice comfort AI in healthcare is advancing rapidly, and as the industry evolves, so will athenaOne.
**56.** Acting as an always-on intelligent assistant, it will help reduce physician burnout by taking on repetitive tasks, surfacing insights at the point of care, and suggesting next best actions in real time.
**57.** With AI-native athenaOne, we are building on this foundation, layering in next-gen AI technologies to turn this seamless data exchange into actionable insights for physicians.
**58.** Our next-generation, real-time AI-powered solutions are set to tackle the challenges that have remained unsolved.
**59.** An AI-native solution that’s scalable, seamless, and ready for what’s next The pace of change in the healthcare industry is unprecedented, and staying on top of innovations can add another burden to the already full plate of health professionals.
**60.** An invisible, powerful AI intelligence layer With our AI-native athenaOne, AI will become the core of the system — making the EMR truly smart.
**61.** Every user, whether you’re a solo practitioner or a large group, gets access to powerful new AI capabilities, right out of the box, and updated three times a year automatically as our roadmap becomes reality.
**62.** The future of AI in healthcare is promising, but only if it evolves in partnership with the people who use it every day What healthcare leaders should do now The 2025 PSS doesn’t just highlight what physicians are feeling, it points the way forward.
**63.** Leaders should: Involve clinicians early in decision-making Offer clear guardrails and training Track outcomes and continuously improve The future of AI in healthcare is promising, but only if it evolves in partnership with the people who use it every day.
**64.** Efficiency now, accuracy next Physicians are becoming cautiously optimistic about AI.
**65.** Train front-desk and billing teams to flag upcoming coverage expirations.
**66.** Develop patient-facing materials (scripts, emails, signage) to explain upcoming Medicaid changes and how to stay covered.
**67.** Before using ambient tools, clearly explain to patients how the technology works, what information will be recorded, and how it will be used.
**68.** AI-native athenaOne is advancing this with innovations that promise real-time, standardized communication across data sources, including: Next Generation Document Services: This AI enhancement extracts relevant information from faxes and transforms unstructured data into discrete, reportable data elements within the EHR.
**69.** This next generation of patient engagement AI technology leverages natural language understanding to comprehend and respond meaningfully to patient inquiries, automate routine communications, and promote continuous engagement throughout the care journey: Patient-facing AI assistants: These AI agents can securely communicate individual patient data in a conversational manner.
**70.** Tapping into AI for RCM Now that you have a sense of upcoming innovative AI tools that may help optimize clinical workflows and aid in patient outreach, what about revenue cycle management (RCM)? We’ve already harnessed the power of generative AI to help with things like insurance verification, and we’re working tirelessly to develop new solutions for financial workflows .
**71.** AI-native athenaOne not only simplifies workflows but also future-proofs practices with thoughtful, secure AI deployments tailored to individual clinician and practice preferences.
**72.** Here’s a preview of some of the exciting capabilities already rolling out in athenaOne, including clinical AI-powered tools, designed to meet the unique challenges of ambulatory practices.
**73.** In this case, native AI will be able to leverage real-time updates from vitals, encounter summaries, lab results, and other patient chart data to help surface inferences and insights clinicians can use for diagnoses.
**74.** It offers attendees the opportunity to hear success stories and serves as a marketplace of ideas for the future of AI integration and how big technology can promote real, industry-specific change while also driving business growth.
**75.** Some will be available natively as part of AI-native athenaOne .
**76.** Task updates with actionable notes: Updated claim statuses appear directly in task queues, complete with clear notes explaining denials, adjustment reasons, or resubmission requests, so staff always know the next step.
**77.** Stay tuned for upcoming beta opportunities and new enhancements that will continue to shape the future of claim management.
**78.** What This Means for the Future of AI in Healthcare The findings underscore a crucial point: AI cannot succeed in healthcare without the trust of both physicians and patients.
**79.** Patients want reassurance that AI systems will be trained on diverse data and actively monitored for fairness.
**80.** The athenahealth + USofC research offers a roadmap for how to get there: elevate both voices, address concerns directly, and design AI for real-world impact.
**81.** EOBs can be automatically analyzed against contracts, and fee schedules will be updated to mitigate the lesser-of rule, helping ensure the right procedures are billed at the full amount and paid properly and promptly.
**82.** In today’s environment, the real question isn’t whether to use AI in billing — it’s whether your system is truly AI-native and built for what comes next .
**83.** Provide feedback to refine performance: Chart Assistant with Sage users will be able to suggest contextual improvements, which supports ongoing AI model refinement.
**84.** Future releases will extend these capabilities to: Clinical documents – Expanding AI labeling to other document types beyond admin faxes.
**85.** Next steps Explore AI-native athenaOne®: See the platform in action → (request a demo) Learn about Chart Assistant with Sage and athenaAmbient: Visit our AI native solutions page → Join early-access programs: Connect your athenahealth Customer Success Manager AI in healthcare More AI in healthcare resources Previous Marty Fenn February 19, 2026 6 min read AI in healthcare Using AI triage systems to keep patients engaged AI triage systems meet patients at the front door of care and free up time for admins.
**86.** Practices can also join alpha and beta programs , gaining early access to emerging features such as athenaAmbient.
**87.** How should they evaluate technology in this new environment? What does partnership really mean when software is expected to deliver services directly? And how does this shift intersect with the broader pressures facing healthcare over the next decade? Do AI solutions offer a complete service across all use cases, or do they need to be backed by staff for edge cases? Can these services offer resiliency when connections go down? The reality is that software companies have always been services companies in disguise.
**88.** But the organizations that engage these questions seriously — with a focus on outcomes, partnership, and care delivery — will be the ones best equipped to sustain access, support clinicians , and navigate what comes next.
**89.** Incoming text messages or phone calls to practices are fielded by AI assistants that provide patients with immediate communications to help directly answer questions or provide clarity on next steps.
**90.** AI triage fills this gap by giving patients guidance at the moment they’re deciding what to do next.
**91.** Future GA releases will deepen integration with scheduling, billing, and other clinical workflows while also offering a voice AI capability.
**92.** Read more Next Empower your practice AI powered patient engagement Learn how AI tools can help improve patient loyalty and outcomes.
**93.** An intelligent AI assistant will be available 24/7 to provide instant, friendly responses to common inquiries.
**94.** In the morning when the pediatrician gets into the office, the patient's previous night's care will be available.
**95.** The office records, including test results, any diagnostic imaging, and diagnoses will be more readily available for review.
**96.** Preparing for the next phase of AI in healthcare  Generative AI is becoming part of how patients seek information and how clinicians manage workflows.
**97.** In this future, AI doesn't replace the patient-provider relationship — it helps strengthen it.
**98.** 5M average increase in collections per year over first four years Read more clinical efficiency Automation drives efficiency and operational success for large health system 24K reduction in paper claims monthly 99% EDI claims rate Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.
**99.** marketplace partner independent medical practice pain management behavioral health More marketplace partner resources Previous marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more marketplace partner Multi-specialty group reduces operational costs, boosts ROI with Rivia Health Read more marketplace partner iScribe helps large orthopedic group maintain efficiency during EHR transition Read more marketplace partner Accuhealth RPM helps cardiology practice monitor data for high-risk patients Read more marketplace partner Orthopedic practice automates administrative work, boosts revenue 19% reduction in claims denial rates 12% increase in encounter volume Read more Next Research and news Explore more healthcare deep dives Get thought leadership, research, and news about the business of healthcare.

### Other (50):
**1.** Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**2.** We joined several of these partners in their booths, including ELLKAY, HL7, and CommonWell, to discuss shared collaboration and the real-world impact of next-level interoperability.
**3.** Our commitment to a future state of improved interoperability includes bringing our athenahealth customers along with us: instead of expecting them to jump through hoops, we are quickly and automatically migrating thousands of customers to the TEFCA protocols so that clinicians and patients can immediately benefit from this next-level information access and insights.
**4.** We will be taking the stage with one of our national payer partners to share more about our collaboration.
**5.** Storey shared, "We're enrolled in [the ChartSync] beta and so the information that is surfaced in the provider's clinical [workflow] is more actionable and informative.
**6.** Think of a future where administrative burdens are lifted, patient interactions are enriched, and healthcare professionals can focus on delivering exceptional outcomes for their patients.
**7.** Read more primary care Empowering patients through ChartSpan’s Chronic Care Management $26,500 monthly net revenue increase for Abilene 290 hours of staff time saved per year Read more Next Continue exploring Read more actionable insights Get thought leadership, research, and news about the business of healthcare.
**8.** Keeping you current with SaaS Future-proofing your practice requires the ability to evolve.
**9.** Insight integration Clinical data will be extracted and saved to the patient chart as discrete data points that can highlight key trends.
**10.** In other words, the next chapter of interoperability can’t just connect systems — it has to connect the ecosystem.

## 📢 ANNOUNCEMENTS (58 found)

### AI-Related (39):
**1.** __PRELOADED_STATE__ = {"1":{"panel_info":{"machine_name":"subnav"},"data":{"type":[{"target_id":"subnav"}],"field_nav_links":[{"uri":"/press-releases","title":"Press Releases","options":[]},{"uri":"/news","title":"News","options":[]},{"uri":"/data-insights","title":"Data Insights","options":[]},{"uri":"/government-relations","title":"Government Affairs","options":[]},{"uri":"/press-kit","title":"Press Kit","options":[]}],"field_stat_disclaimer_link":[{"value":"/newsroom"}],"field_text_color":[{"color":"#FFFFFF","opacity":null}],"field_title":[{"value":"NEWSROOM at athenahealth","format":"rich_text"}],"field_background_color":[{"color":"#582C83","opacity":null}],"analytics_component":"1"}},"2":{"panel_info":{"machine_name":"fields"},"data":{"title":"athenahealth is Ushering in the Era of AI-enabled, Intelligent Interoperability for Physician Practices Nationwide","analytics_component":false,"divider_color":false}},"3":{"panel_info":{"machine_name":"fields"},"data":{"field_subtitle":[{"value":"<p>Cloud-native athenaOne architecture enables rapid deployment of AI features to realize the promise of data exchange, provide easy access to insights for practices of all sizes</p>","format":"resource_text_format","divider":""}],"analytics_component":true,"divider_color":false}},"4":{"panel_info":{"machine_name":"fields"},"data":{"created":"August 14, 2025","analytics_component":false,"divider_color":false}},"5":{"panel_info":{"machine_name":"fields"},"data":{"article_content":[{"value":"<p><strong>Boston, MA,</strong> August 14, 2025 - athenahealth, a leading provider of network-enabled software and services for health care practices and systems nationwide, today announced major advancements that will usher in the next generation of intelligent interoperability for ambulatory care practices across the country.
**2.** __PRELOADED_STATE__ = {"1":{"panel_info":{"machine_name":"subnav"},"data":{"type":[{"target_id":"subnav"}],"field_nav_links":[{"uri":"/press-releases","title":"Press Releases","options":[]},{"uri":"/news","title":"News","options":[]},{"uri":"/data-insights","title":"Data Insights","options":[]},{"uri":"/government-relations","title":"Government Affairs","options":[]},{"uri":"/press-kit","title":"Press Kit","options":[]}],"field_stat_disclaimer_link":[{"value":"/newsroom"}],"field_text_color":[{"color":"#FFFFFF","opacity":null}],"field_title":[{"value":"NEWSROOM at athenahealth","format":"rich_text"}],"field_background_color":[{"color":"#582C83","opacity":null}],"analytics_component":"1"}},"2":{"panel_info":{"machine_name":"fields"},"data":{"title":"athenahealth Launching New Suite of Tailored Specialty Solutions to Simplify the Practice of Healthcare in America","analytics_component":false,"divider_color":false}},"3":{"panel_info":{"machine_name":"fields"},"data":{"field_subtitle":[{"value":"<p>New solutions pair tailored product enhancements to industry-leading athenaOne<sup>®</sup> platform with expert support; dedicated solutions for women’s health and urgent care available now</p>","format":"rich_text","divider":""}],"analytics_component":true,"divider_color":false}},"4":{"panel_info":{"machine_name":"fields"},"data":{"created":"May 16, 2024","analytics_component":false,"divider_color":false}},"5":{"panel_info":{"machine_name":"fields"},"data":{"article_content":[{"value":"<p>BOSTON, May 16, 2024 – athenahealth, a leading provider of network-enabled software and services for medical groups and health systems nationwide, today announced the availability of athenaOne for Women’s Health and athenaOne for Urgent Care, as part of the company’s initiative to develop purpose-built solutions for specialty medical practices and sites of care.
**3.** __PRELOADED_STATE__ = {"1":{"panel_info":{"machine_name":"subnav"},"data":{"type":[{"target_id":"subnav"}],"field_nav_links":[{"uri":"/press-releases","title":"Press Releases","options":[]},{"uri":"/news","title":"News","options":[]},{"uri":"/data-insights","title":"Data Insights","options":[]},{"uri":"/government-relations","title":"Government Affairs","options":[]},{"uri":"/press-kit","title":"Press Kit","options":[]}],"field_stat_disclaimer_link":[{"value":"/newsroom"}],"field_text_color":[{"color":"#FFFFFF","opacity":null}],"field_title":[{"value":"NEWSROOM at athenahealth","format":"rich_text"}],"field_background_color":[{"color":"#582C83","opacity":null}],"analytics_component":"1"}},"2":{"panel_info":{"machine_name":"fields"},"data":{"title":"athenahealth Unveils Next Generation AI-Native EHR Solution to Simplify Clinician Experience for Ambulatory Practices","analytics_component":false,"divider_color":false}},"3":{"panel_info":{"machine_name":"fields"},"data":{"field_subtitle":[{"value":"<p>New capabilities, including industry-first clinically inferred diagnoses, are part of the company’s reimagined athenaOne platform rolling out this fall</p>","format":"resource_text_format","divider":""}],"analytics_component":true,"divider_color":false}},"4":{"panel_info":{"machine_name":"fields"},"data":{"created":"September 09, 2025","analytics_component":false,"divider_color":false}},"5":{"panel_info":{"machine_name":"fields"},"data":{"article_content":[{"value":"<p><strong>BOSTON</strong>, September 9, 2025 – athenahealth, a leading provider of network-enabled software and services for healthcare practices and systems nationwide, today announced advancements in its electronic health record (EHR) designed to simplify the clinical workflow from end to end, automating routine tasks and delivering personalized insights to enable a more patient-centered approach to care.
**4.** athenahealth, Healthcare Technology Leader, to be Acquired by Hellman & Friedman and Bain Capital for $17 Billion
**5.** </p>\r\n\r\n<h2>About Bain Capital</h2>\r\n\r\n<p>Bain Capital has partnered closely with management teams to provide the strategic resources that build great companies and help them thrive since its founding in 1984.
**6.** athenahealth Acquired by Hellman & Friedman and Bain Capital
**7.** announced that affiliates of Bain Capital and Hellman & Friedman have completed their acquisition of athenahealth from Veritas Capital and Evergreen Coast Capital for $17 billion.
**8.** AI, interoperability, HIT partnerships take the stage at HIMSS 2025
**9.** com/press-releases/athenahealth-and-abridge-partner" target="_blank">recently announced</a> a new athenahealth Marketplace Partner, Abridge, who joins Suki AI and iScribe as top vendors for our <a href="https://www.
**10.** com/press-releases/athenahealth-and-abridge-partner\" target=\"_blank\">recently announced</a> a new athenahealth Marketplace Partner, Abridge, who joins Suki AI and iScribe as top vendors for our <a href=\"https://www.
**11.** athenahealth Marketplace Partners offer a variety of AI agent tools
**12.** , a leading provider of network-enabled software and services for medical groups and health systems nationwide, today announced that CentricityTM Business will be renamed athenaIDX™.
**13.** , <span>January 8</span>, 2021</span></span> (BusinessWire) – <span><span>athenahealth,</span></span> a leading provider of network-enabled software and services for medical groups and health systems nationwide, today announced that chairman and CEO Bob Segert will present at the 39th Annual J.
**14.** and Smile Foundation today announced the launch of the foundation’s flagship Smile on Wheels program to strengthen public health infrastructure and provide primary health care to Chennai residents.
**15.** , a leading provider of network-enabled software and services for medical groups and health systems nationwide, and Advanced Pain Care (APC), a leading pain management group in Texas, today announced a partnership that will support APC’s mission to deliver comprehensive, focused patient care while enabling the organization to drive operational and financial improvements across APC’s growing footprint.
**16.** athenahealth Launches AI-Powered Ambient Notes, a Unique Fully Integrated Documentation Solution Designed for Ambulatory Practices
**17.** __PRELOADED_STATE__ = {"1":{"panel_info":{"machine_name":"subnav"},"data":{"type":[{"target_id":"subnav"}],"field_nav_links":[{"uri":"/press-releases","title":"Press Releases","options":[]},{"uri":"/news","title":"News","options":[]},{"uri":"/data-insights","title":"Data Insights","options":[]},{"uri":"/government-relations","title":"Government Affairs","options":[]},{"uri":"/press-kit","title":"Press Kit","options":[]}],"field_stat_disclaimer_link":[{"value":"/newsroom"}],"field_text_color":[{"color":"#FFFFFF","opacity":null}],"field_title":[{"value":"NEWSROOM at athenahealth","format":"rich_text"}],"field_background_color":[{"color":"#582C83","opacity":null}],"analytics_component":"1"}},"2":{"panel_info":{"machine_name":"fields"},"data":{"title":"athenahealth Launches AI-Powered Ambient Notes, a Unique Fully Integrated Documentation Solution Designed for Ambulatory Practices","analytics_component":false,"divider_color":false}},"3":{"panel_info":{"machine_name":"fields"},"data":{"field_subtitle":[{"divider":""}],"analytics_component":true,"divider_color":false}},"4":{"panel_info":{"machine_name":"fields"},"data":{"created":"October 30, 2024","analytics_component":false,"divider_color":false}},"5":{"panel_info":{"machine_name":"fields"},"data":{"article_content":[{"value":"<p><strong>Boston, October 30, 2024</strong> <strong>–</strong> athenahealth, a leading provider of network-enabled software and services for medical practices and health systems nationwide, today announced the launch of Ambient Notes, an innovative solution designed to reduce the burden of clinical note documentation by integrating ambient listening and generative AI technology directly into the athenaOne experience.
**18.** athenahealth Introduces AI-Native athenaOne Practice and Revenue Cycle Management Capabilities Designed to Reduce Practices’ Administrative Work by More than 50%
**19.** __PRELOADED_STATE__ = {"1":{"panel_info":{"machine_name":"subnav"},"data":{"type":[{"target_id":"subnav"}],"field_nav_links":[{"uri":"/press-releases","title":"Press Releases","options":[]},{"uri":"/news","title":"News","options":[]},{"uri":"/data-insights","title":"Data Insights","options":[]},{"uri":"/government-relations","title":"Government Affairs","options":[]},{"uri":"/press-kit","title":"Press Kit","options":[]}],"field_stat_disclaimer_link":[{"value":"/newsroom"}],"field_text_color":[{"color":"#FFFFFF","opacity":null}],"field_title":[{"value":"NEWSROOM at athenahealth","format":"rich_text"}],"field_background_color":[{"color":"#582C83","opacity":null}],"analytics_component":"1"}},"2":{"panel_info":{"machine_name":"fields"},"data":{"title":"athenahealth Introduces AI-Native athenaOne Practice and Revenue Cycle Management Capabilities Designed to Reduce Practices’ Administrative Work by More than 50%","analytics_component":false,"divider_color":false}},"3":{"panel_info":{"machine_name":"fields"},"data":{"field_subtitle":[{"value":"<p>Market-leading AI features streamline practice operations from the front to the back office -including automated insurance selection and AI agents that improve the speed and quality of prior authorizations and claims processing</p>","format":"resource_text_format","divider":""}],"analytics_component":true,"divider_color":false}},"4":{"panel_info":{"machine_name":"fields"},"data":{"created":"October 09, 2025","analytics_component":false,"divider_color":false}},"5":{"panel_info":{"machine_name":"fields"},"data":{"article_content":[{"value":"<p>Boston - October 9, 2025 - athenahealth, a leading provider of network-enabled software and services for healthcare practices and systems nationwide, today announced new industry-leading, AI-powered, <a href=\"https://www.
**20.** athenahealth’s AI-native Clinical Encounter Transforms the EHR into a Real-Time Clinical Intelligence Partner
**21.** __PRELOADED_STATE__ = {"1":{"panel_info":{"machine_name":"subnav"},"data":{"type":[{"target_id":"subnav"}],"field_nav_links":[{"uri":"/press-releases","title":"Press Releases","options":[]},{"uri":"/news","title":"News","options":[]},{"uri":"/data-insights","title":"Data Insights","options":[]},{"uri":"/government-relations","title":"Government Affairs","options":[]},{"uri":"/press-kit","title":"Press Kit","options":[]}],"field_stat_disclaimer_link":[{"value":"/newsroom"}],"field_text_color":[{"color":"#FFFFFF","opacity":null}],"field_title":[{"value":"NEWSROOM at athenahealth","format":"rich_text"}],"field_background_color":[{"color":"#582C83","opacity":null}],"analytics_component":"1"}},"2":{"panel_info":{"machine_name":"fields"},"data":{"title":"athenahealth’s AI-native Clinical Encounter Transforms the EHR into a Real-Time Clinical Intelligence Partner","analytics_component":false,"divider_color":false}},"3":{"panel_info":{"machine_name":"fields"},"data":{"field_subtitle":[{"value":"<p>Opt-in experience leverages AI, including new native Ambient technology, to reimagine the clinical workflow around the clinician</p>","format":"resource_text_format","divider":""}],"analytics_component":true,"divider_color":false}},"4":{"panel_info":{"machine_name":"fields"},"data":{"created":"November 04, 2025","analytics_component":false,"divider_color":false}},"5":{"panel_info":{"machine_name":"fields"},"data":{"article_content":[{"value":"<p><strong>Boston – November 4, 2025</strong> - athenahealth, a leading provider of network-enabled software and services for healthcare practices and systems nationwide, today introduced its AI-native clinical encounter, a reimagined experience that anticipates clinicians’ needs, surfaces relevant insights at the moment of care, and drafts documentation, orders, and diagnoses based on the clinician-patient conversation.
**22.** The past seven years have seen a boom in applications that reduce administrative burden, with athenahealth continuing to help pioneer new avenues for improving clinical workflows – a process that launched under Venkatachaliah’s lead with using AI to revolutionize incoming fax processing for medical practices.
**23.** In 2018, the company launched an AI-driven approach to transform the manual, analog fax process into a streamlined digital workflow.
**24.** com/resources/blog/ai-and-healthcare-innovations-introduced-at-thrive-2024"/><link data-react-helmet="true" rel="shortcut icon" href="/resources_ahcom/d9d3883267213b869ba1.
**25.** com/resources/blog/ai-and-healthcare-innovations-introduced-at-thrive-2024",
            "headline": "athenahealth Thrive 2024: Deep dive into healthcare\u0027s future",
            "name": "athenahealth Thrive 2024: Deep dive into healthcare\u0027s future",
            "description": "Read this recap of innovations and announcements from athenahealth’s 2024 Thrive customer event, including a new ambient listening for ai clinical notes technology.
**26.** com/resources/blog/ai-and-healthcare-innovations-introduced-at-thrive-2024"
        }
    ]
}</script>

 
  <!--  facebook  verification-->
  <meta name="facebook-domain-verification" content="40z0onvx3wmp1vq8hp8f10mzlr0ia5" />
  <!-- Chat css -->
  <style type="text/css">
  /* Fix SF Chat widget height overlapping with header for smaller screens.
**27.** </p><p>This year on the mainstage, our chief product officer Paul Brient announced exciting new and upcoming capabilities, including <a href="https://www.
**28.** webp?itok=DtKR7vq6","canonical":"/resources/blog/ai-and-healthcare-innovations-introduced-at-thrive-2024","service_crawl":""}
  

  

  
      window.
**29.** </p><p>This year on the mainstage, our chief product officer Paul Brient announced exciting new and upcoming capabilities, including <a href=\"https://www.
**30.** url = "/resources/blog/ai-and-healthcare-innovations-introduced-at-thrive-2024"
  

  
      window.
**31.** Learn how our partners can put AI to work in your workflow
**32.** Partnership with Salesforce deploys agentic AI solutions on national and local scale
**33.** That’s why athenahealth partnered with the United States of Care (USofCare) to survey both physicians and patients about their views on AI in medicine.
**34.** </p><h2>From manual sorting to intelligent automation</h2><p>We introduced the Predicted Document Labels for Admin Documents in the <a href="https://www.
**35.** </p><h2>From manual sorting to intelligent automation</h2><p>We introduced the Predicted Document Labels for Admin Documents in the <a href=\"https://www.
**36.** " Generative AI can prove fast, conversational, and available around the clock, filling the gap between when results are released and when follow-ups occur.
**37.** </p><p>Lab reports are frequently released through patient portals before a clinician has reviewed or explained them.
**38.** </p><h2>The benefits of secure, platform-integrated AI</h2><p>When generative AI can connect to patient portals, messaging tools, and clinical workflows, it can help deliver explanations at the moment lab results are released because it has access to more data.
**39.** \" Generative AI can prove fast, conversational, and available around the clock, filling the gap between when results are released and when follow-ups occur.

### Other (10 shown):
**1.** </a> (“athenahealth” or “the Company”), a leading provider of cloud-based enterprise software solutions for medical groups and health systems nationwide, today announced it has entered into a definitive agreement to be jointly acquired by affiliates of <a href=\"https://www.
**2.** </a> (“athenahealth” or “the Company”), a leading provider of cloud-based enterprise software solutions for medical groups and health systems nationwide, today announced that affiliates of <a href=\"https://www.
**3.** Partnering across the industry to drive better, more affordable care
**4.** Here are a few HIT innovators we partnered with at HIMSS to highlight the ways working together can streamline workflows, solve business challenges, and improve practice performance and clinical outcomes.
**5.** More than a vendor: athenaOne as a collaborative partner in success
**6.** , a leading provider of network-enabled software and services for medical groups and health systems nationwide, today announced survey findings from its second Physician Sentiment Index 2021 report.
**7.** </p>\r\n\r\n<p>Through athenaGives, athenahealth’s corporate social responsibility program, we have partnered with Smile Foundation to help advance our mission and create positive social impact.
**8.** </p>\r\n\r\n<p>The findings, announced today by athenahealth, Inc.
**9.** com/press-releases/athenahealth-and-abridge-partner\" target=\"_blank\">which was announced as the third partner</a> on February 25th.
**10.** In 2024, the company launched <a href=\"https://www.

## 🔗 INTEGRATIONS (205 found)

**1.** Interoperability Get the data you need when you need it from across our network.
**2.** But what makes our approach different is that the AI is built into a single, intelligent platform that continuously learns from practices across the largest connected health data network.
**3.** Fixing the system from the inside out by prioritizing interoperability and integrated AI Healthcare isn’t like other industries — and that makes AI harder to implement.
**4.** For AI to deliver on its promise , healthcare organizations and policymakers alike must prioritize interoperability and integration .
**5.** If we make the right choices, such as prioritizing practical AI applications, modernizing outdated regulations, and fostering interoperability, AI will not only transform healthcare operations but also strengthen the provider-patient relationship.
**6.** 05, 2023 How Clearway Pain streamlined processes and increased patient satisfaction 200+ established providers* 6 locations in US with 8450+ enrolled patients* Marketplace partner Challenges Closing the data gap for enhanced patient care Solution OutcomeMD, a patient reported outcome (PRO) platform  Results Clearway Pain increased patient satisfaction and trust as patient data was seamlessly integrated from athenahealth into OutcomeMD 8,500+ initial surveys sent* 7,090+ follow up surveys sent* Closing the data gap for enhanced patient care Clearway Pain Solutions, a prominent pain management medical practice led by Ira Kornbluth, M.
**7.** Live on athenaOne since 2021 Challenges Lacked a single, centralized referral intake system Difficulty managing growing outreach needs due to manual workflows Unable to verify insurance eligibility without switching systems Struggled to build and maintain relationships with referral partners Solutions athenahealth Marketplace partner: LeadSquared Fully integrated with athenaOne Results Strengthened and accelerated their referral pipeline through a centralized system By streamlining multiple intake channels into a single system that leverages automation to enable staff efficiency and outreach.
**8.** Realizing they had a lot of room to improve their communication, data visibility, and efficiency, Clearway Pain Solutions partnered with LeadSquared , an athenahealth Marketplace partner, to build a centralized, connected, referral management system.
**9.** Creating an integrated and efficient referral management system Clearway determined that the scale of their challenges would take two systems to solve.
**10.** Through this integration, Clearway’s staff was finally able to manage their entire referral process through a single platform.
**11.** For our part, athenahealth is collaborating closely with partners and industry coalitions to bring streamlined, secure data exchange to patients and clinicians.
**12.** Partnering across the industry to drive better, more affordable care There's nothing like bringing together companies from across the healthcare ecosystem to discuss key issues facing the industry, as well as collaborations and solutions that deliver real outcomes for customers.
**13.** We’re partnering with SureScripts to make this important process easier, leveraging their vast network with ours for greater visibility and insights.
**14.** Delivering insights and value through interoperability While AI was a trending theme at HIMSS 2025, interoperability remains a steadfast focus for the HIT industry.
**15.** This year, real interoperability progress built upon cooperation and technological innovation is helping make the vision of interoperability closer to reality.

## 📋 EXECUTIVE SUMMARY

- 🤖 **AI Features:** 798
- 📊 **Performance Claims:** 133
- 🚀 **Roadmap Items:** 149 (99 AI-related)
- 📢 **Announcements:** 58 (39 AI-related)
- 🔗 **Integrations:** 205
- 📋 **TOTAL INTELLIGENCE ITEMS:** 1808

**Pages scraped:** 80
**Failed URLs:** 0

## 📑 PAGES SCRAPED

- [athenahealth is Ushering in the Era of AI-enabled, Intellige](https://www.athenahealth.com/press-releases/athenaone-ai-intelligent-interoperability-solution)
- [athenahealth Launching New Suite of Tailored Specialty Solut](https://www.athenahealth.com/press-releases/athenahealth-launching-new-suite-of-tailored-specialty-solutions)
- [athenahealth Unveils Next Generation AI-Native EHR Solution ](https://www.athenahealth.com/press-releases/athenahealth-unveils-next-generation-ai-native-ehr-solution)
- [AI reduces healthcare administrative burdens | athenahealth](https://www.athenahealth.com/resources/blog/healthcare-ai-practical-solutions)
- [Clearway Pain Elevates Patient Care With OutcomeMD | athenah](https://www.athenahealth.com/resources/case-studies/clearway-pain-solutions)
- [Phreesia Speeds Up Clearway Pain's Patient Intake | athenahe](https://www.athenahealth.com/resources/case-studies/clearway-pain-solutions-telehealth)
- [Referral-to-Appointment Engines with LeadSquared | athenahea](https://www.athenahealth.com/resources/case-studies/leadsquared-clearway-pain-solutions-referral-engine)
- [athenahealth, Healthcare Technology Leader, to be Acquired b](https://www.athenahealth.com/press-releases/athenahealth-healthcare-technology-leader-to-be-acquired-by-hellman-friedman-bain-capital-17-billion)
- [athenahealth Acquired by Hellman & Friedman and Bain Capital](https://www.athenahealth.com/press-releases/athenahealth-acquired-by-hellman-and-friedman-and-bain-capital)
- [HIMSS AI Technology and Interoperability 2025 Recap | athena](https://www.athenahealth.com/resources/blog/ai-interoperability-partnership-at-himss)
- [The power of interoperability for FQHCs  | athenahealth](https://www.athenahealth.com/resources/blog/mountain-laurel-medical-center-interoperability)
- [Agentic AI Integrations for athenaOne® | athenahealth](https://www.athenahealth.com/resources/blog/benefits-of-agentic-ai-marketplace-integrations)
- [Innovative Healthcare AI Solutions | athenahealth](https://www.athenahealth.com/solutions/athenaone/ai-powered-healthcare)
- [Scalable Interoperability for Health Systems | athenahealth](https://www.athenahealth.com/athenainstitute/perspectives/next-chapter-affiliate-strategy-scalable-interoperability)
- [When Interoperability Truly Helps Clinicians | athenahealth](https://www.athenahealth.com/athenainstitute/perspectives/making-interoperability-work-in-the-exam-room)
- [Patient Data Interoperability Beyond Barriers | athenahealth](https://www.athenahealth.com/athenainstitute/perspectives/true-data-interoperability-is-more-than-compliance)
- [athenahealth rebrands Centricity Business to athenaIDX, refl](https://www.athenahealth.com/press-releases/athenahealth-rebrands-centricity-business-athenaIDX-reflecting-strategic-focus-optimize-financial-performance)
- [athenahealth Chairman and CEO to Present at 39th Annual J.P.](https://www.athenahealth.com/press-releases/athenahealth-chairman-and-ceo-present-39th-annual-jp-morgan-healthcare-conference)
- [athenahealth Physician Sentiment Index Highlights Healthcare](https://www.athenahealth.com/press-releases/athenahealth-physician-sentiment-index-highlights-healthcare-provider-pain-points)
- [Physicians Struggle to Maintain Balance Amidst Organizationa](https://www.athenahealth.com/press-releases/physicians-struggle-maintain-balance-amidst-organizational-change-according-athenahealth-study)
- [athenahealth and Smile Foundation Launch Smile on Wheels Mob](https://www.athenahealth.com/press-releases/athenahealth-and-smile-foundation-launch-smile-on-wheels-mobile-health-unit-in-chennai)
- [Advanced Pain Care Selects athenahealth to Optimize Operatio](https://www.athenahealth.com/press-releases/advanced-pain-care-selects-athenahealth-to-optimize-operations-and-support-growth)
- [Despite Widespread Interest in CPR Certification, Most Ameri](https://www.athenahealth.com/press-releases/despite-widespread-interest-in-cpr-certification-most-americans-lack-awareness-on-education-and-training-new-research-shows)
- [athenahealth Launches AI-Powered Ambient Note | athenahealth](https://www.athenahealth.com/press-releases/athenahealth-launches-ai-powered-ambient-notes)
- [At HIMSS 2025, athenahealth Highlights AI Investments | athe](https://www.athenahealth.com/press-releases/at-himss-2025-athenahealth-highlights-ai-investments)
- [athenahealth Introduces AI-Native athenaOne | athenahealth](https://www.athenahealth.com/press-releases/athenahealth-introduces-ai-native-athenaone)
- [athenahealth’s AI-native Clinical Encounter Transforms the E](https://www.athenahealth.com/press-releases/ai-native-clinical-encounter-transforms-ehr)
- [New Findings from athenahealth Reveal AI Use Advancing Beyon](https://www.athenahealth.com/press-releases/new-findings-from-athenahealth-reveal-ai-use)
- [How AI Helps Boost Patient Engagement | athenahealth](https://www.athenahealth.com/resources/blog/leveraging-ai-for-better-patient-encounters)
- [Benefits of artificial intelligence in healthcare | athenahe](https://www.athenahealth.com/resources/blog/ai-help-clinician-burnout)
- [Drive efficiency with healthcare AI | athenahealth](https://www.athenahealth.com/resources/blog/use-ai-to-drive-efficiency)
- [Benefits of AI in Healthcare Industry | athenahealth](https://www.athenahealth.com/resources/blog/ai-poised-to-transform-healthcare-one-fax-at-a-time)
- [Patient Retention Strategies | athenahealth](https://www.athenahealth.com/resources/blog/attract-and-retain-patients)
- [Physicians have mixed feelings about AI in Healthcare | athe](https://www.athenahealth.com/resources/blog/ai-in-healthcare-physician-sentiments)
- [athenahealth showcases AI and healthcare ecosystem innovatio](https://www.athenahealth.com/resources/blog/ai-and-healthcare-innovations-introduced-at-thrive-2024)
- [athenaIDX Revenue Cycle Management Software | athenahealth](https://www.athenahealth.com/resources/blog/benefits-of-athenaIDX)
- [How successful practices manage pre-authorization | athenahe](https://www.athenahealth.com/resources/blog/top-pain-killers-prior-authorization-headaches)
- [Path to value-based care | athenahealth](https://www.athenahealth.com/resources/blog/value-based-medical-care-explained)
- [Top Ways AI-Native EHRs Boost RCM Outputs | athenahealth](https://www.athenahealth.com/resources/blog/reduce-administrative-burden-with-athenaone-ai-tools)
- [4 Statistics: AI in Healthcare Saves Time | athenahealth](https://www.athenahealth.com/resources/blog/4-statistics-ai-in-healthcare)
- [AI Growth in Clinical Workflows for Physicians | athenahealt](https://www.athenahealth.com/resources/blog/ai-in-physician-workflows)
- [Benefits and Use Cases of AI in Healthcare | athenahealth](https://www.athenahealth.com/resources/blog/ai-benefits-and-use-cases)
- [How Ambient Notes Saves Clinicians Real Time | athenahealth](https://www.athenahealth.com/resources/blog/ai-in-healthcare-springfield-clinic)
- [Assessing Health Equity and AI in Healthcare | athenahealth](https://www.athenahealth.com/resources/blog/healthcare-ai-social-determinants-of-health)
- [Practices Face Financial Pressure | athenahealth](https://www.athenahealth.com/resources/blog/2025-pss-results-revenue-strain)
- [4 Ways to Rebrand AI in Healthcare | athenahealth](https://www.athenahealth.com/resources/blog/4-ways-rebrand-ai-healthcare)
- [AI’s Role in Patient-Centric Care | athenahealth](https://www.athenahealth.com/resources/blog/ai-role-patient-centric-care)
- [The Rise of Agentic AI in Healthcare | athenahealth](https://www.athenahealth.com/resources/blog/how-agentic-ai-helps-care-teams)
- [EHR Training: Provider Onboarding Is Key | athenahealth](https://www.athenahealth.com/resources/blog/athenaone-ehr-provider-training)
- [Pain Practices Embrace the ASC Model | athenahealth](https://www.athenahealth.com/resources/blog/pain-management-asc)
- [AI Accuracy in Healthcare & Clinical Work | athenahealth](https://www.athenahealth.com/resources/blog/importance-of-ai-accuracy-in-healthcare-documentation)
- [What Does AI-Native EHR Mean in Healthcare? | athenahealth](https://www.athenahealth.com/resources/blog/what-is-ai-native-ehr)
- [A New Era in Ambulatory Care AI | athenahealth](https://www.athenahealth.com/resources/blog/ai-native-ambulatory-care)
- [Smarter AI That Supports Physicians Every Day | athenahealth](https://www.athenahealth.com/resources/blog/supporting-physicians-with-smarter-ai)
- [How AI Can Improve Orthopedic Practice Health | athenahealth](https://www.athenahealth.com/resources/blog/how-ai-helps-improve-orthopedic-practices)
- [AI in Healthcare: What Physicians Think Now | athenahealth](https://www.athenahealth.com/resources/blog/ai-healthcare-physicians-embrace-efficiency)
- [Medicaid Cuts: How Clinics Can Stay Ahead | athenahealth](https://www.athenahealth.com/resources/blog/preparing-medicaid-cuts-clinics)
- [How to Use Generative AI for Clinical Notes | athenahealth](https://www.athenahealth.com/resources/blog/best-practices-for-using-ai-for-clinical-notes)
- [New Generative AI Tools in AI-Native athenaOne | athenahealt](https://www.athenahealth.com/resources/blog/new-tools-in-ai-native-athenaone)
- [How Agentic AI Connects to Local Healthcare | athenahealth](https://www.athenahealth.com/resources/blog/agentic-ai-connecting-big-software-with-local-healthcare)
- [Optimizing Claim Management | athenahealth](https://www.athenahealth.com/resources/blog/optimizing-claim-management)
- [Doctors and Patients on AI in Healthcare | athenahealth](https://www.athenahealth.com/resources/blog/usoc-ai-in-healthcare)
- [AI OCR for Insurance Verification & Healthy RCM | athenaheal](https://www.athenahealth.com/resources/blog/ai-ocr-and-insurance-verification-improve-accuracy)
- [What Patients Think About AI in Healthcare | athenahealth](https://www.athenahealth.com/resources/blog/10-surprising-stats-about-ai-healthcare-patients-and-physicians)
- [Why AI Model Choice Can Enhance Clinical Documentation | ath](https://www.athenahealth.com/resources/blog/why-ai-model-choice-matters-for-clinical-documentation)
- [How AI-Native athenaOne® Can Help Improve RCM | athenahealth](https://www.athenahealth.com/resources/blog/ai-native-athenone-for-rcm-strategic-growth)
- [AI-Native vs. AI Add-On vs. Traditional RCM Tools | athenahe](https://www.athenahealth.com/resources/blog/ai-native-vs-ai-add-on-vs-traditional-rcm-capabilities)
- [Introducing Chart Assistant Clinical AI Aide | athenahealth](https://www.athenahealth.com/resources/blog/introducing-chart-assist-clinical-ai-assistant)
- [Benefits of AI in Healthcare Document Management | athenahea](https://www.athenahealth.com/resources/blog/ai-powered-fax-labeling-for-document-management)
- [Patient Privacy in the Age of AI | athenahealth](https://www.athenahealth.com/resources/blog/compliance-and-patient-data-privacy-in-age-of-ai)
- [How Ambient Scribes Can Help Billing Accuracy | athenahealth](https://www.athenahealth.com/resources/blog/ambient-ai-documentation-for-accurate-medical-billing)
- [9 Data Points on AI in Healthcare | athenahealth](https://www.athenahealth.com/resources/blog/9-proof-points-ai-in-healthcare)
- [Improving Care & RCM with AI Nudges | athenahealth](https://www.athenahealth.com/resources/blog/clinical-ai-reminders-optimize-workflows)
- [Software to Services: AI in Healthcare | athenahealth](https://www.athenahealth.com/resources/blog/how-ai-is-changing-what-healthcare-buyers-really-want)
- [How AI Triage Can Improve Patient Engagement | athenahealth](https://www.athenahealth.com/resources/blog/ai-triage-patient-engagement-benefits)
- [Connected Healthcare: Overcoming a Fragmented Market | athen](https://www.athenahealth.com/resources/blog/how-connected-care-protects-against-fragmenation)
- [How MCP Servers Help Enable Secure AI Connections | athenahe](https://www.athenahealth.com/resources/blog/mcp-servers-securely-connect-to-consumer-ai)
- [AI Doctor: Patients and Lab Results | athenahealth](https://www.athenahealth.com/resources/blog/ai-doctor-trends-in-patient-lab-interpretation)
- [Tarpon Pain and Spine Care Improves Collections | athenaheal](https://www.athenahealth.com/resources/case-studies/tarpon-interventional-pain-and-spine-care)
- [Pain Practice Connects Mental and Physical Health | athenahe](https://www.athenahealth.com/resources/case-studies/commonwealth-pain-spine)