BOSTON — athenahealth said its latest AI-native capabilities are now broadly available across the athenaOne network, reaching more than 170,000 physicians and other clinicians.
The company said the new tools are designed to streamline clinical workflows, reduce documentation time and help clinicians spend more time on patient care.
At the center of the expanded offering is athenahealth’s AI-native clinical encounter, which is now available to all clinicians on the athenahealth network and is built directly into athenaOne. The system is designed to surface relevant information, anticipate clinician needs and recommend next steps during patient visits.
The experience includes athenaAmbient, athenahealth’s ambient documentation tool, which is built into athenaOne at no additional cost. The technology captures patient conversations and generates draft notes, potential diagnoses and recommended order types across desktop and mobile workflows. It can also provide guidance during visits to support documentation and identify potential care gaps.
athenahealth said the AI tools have reduced chart preparation and documentation time by nearly six minutes per patient encounter since their rollout began in late 2025. The company said that translates to more than two workdays saved per clinician each month.
Among early adopters, the AI-native athenaOne experience has increased same-day chart completion by as much as 30 percent, according to the company.
“These AI capabilities are helping me spend less time on documentation and more time fully present with my patients,” said Dr. Lynn Joffe, owner of DTC Family Medicine in Colorado. “I’m able to walk into the exam room with the right context, stay engaged with the patient in front of me, and complete more of my charts the same day. It’s making visits more efficient, more human, and bringing the joy of medicine back.”
athenahealth has also launched the EHR AI CoLab, a co-innovation forum within athenaInstitute, its research and intelligence hub. The group includes nearly 20 clinicians and EHR superusers who provide feedback on the evaluation, testing and refinement of new AI capabilities.
Thousands of additional clinicians are participating in alpha and beta testing across the athenaOne platform, while more than 70 user groups are helping shape new features, the company said.
Among the capabilities currently being tested are problem-based summaries that provide clinicians with relevant patient information, a timeline view that organizes key chart data, an AI-native clinical inbox designed to prioritize tasks and recommend next steps, and a value-based care analytics assistant that helps organizations track quality measures and identify patient populations.
“AI should work alongside clinicians — not create more work for them,” said Chad Dodd, Vice President of Product Management at athenahealth. “Our approach is to build AI directly into everyday workflows, in partnership with clinicians, so the experience feels intuitive, reduces administrative burden, and is translating into real benefits.”
