
Researchers at Sutter Well being, led by Cheryl Stults, Ph.D., discovered that an revolutionary ambient synthetic intelligence platform confirmed promising leads to easing the burden of medical documentation for well being care suppliers. The examine, revealed at the moment in JAMA Community Open, revealed vital reductions in documentation time and improved general clinician satisfaction. It additionally highlights the expertise’s potential to handle long-standing challenges within the medical career.
Key findings embody:
- Time financial savings: Clinicians skilled a big lower in time spent on notes per appointment, decreasing their workload. Imply time in notes per appointment decreased from 6.2 to five.3 minutes (p<0.001).
- Improved well-being: Use of ambient AI led to a marked discount in psychological demand, together with feeling rushed and perceived issue in documentation duties.
- Enhanced job satisfaction: General satisfaction with work improved, and a few reductions in burnout have been noticed (42.1% to 35.1%, p=0.12). One survey respondent stated, “I am going dwelling joyful. It is [bringing] again the enjoyment of drugs—caring for sufferers with out the drain of doing clerical work.”
“Our analysis findings show the potential of ambient AI to not solely save clinicians time, but additionally improve their well-being by assuaging the burden related to documentation duties,” stated Veena Jones, M.D., senior creator of the examine and Sutter Well being’s chief medical data officer.
“This help additionally has a ripple impact for sufferers, who lie on the coronary heart of our work. Ambient AI helps clinicians be extra current with sufferers throughout their appointments, to allow them to focus extra intently on their care.”
The rising calls for of digital well being report documentation, particularly outdoors common clinic working hours, have negatively impacted well being care professionals leading to rising charges of burnout amongst physicians. Ambient AI gives an revolutionary possibility by listening to medical visits and producing correct and arranged progress notes, permitting clinicians to focus extra time with their sufferers throughout every go to.
Research overview
The examine, launched in April 2024, concerned 100 clinicians inside Sutter Well being, representing a broad vary of specialties throughout Northern California. The quantitative and survey information collected earlier than and after implementation revealed vital enhancements, together with decreased “time in notes” and decreased cognitive burden. As well as, the expertise, offered by the corporate Abridge, enabled clinicians to raised join with their sufferers, enhancing the general care expertise.
“Sufferers adore it. They thank me on the finish of every go to for spending a lot time with them, when actually it is the identical period of time,” stated Emily Conway, M.D., a heart specialist with Sutter Medical Group of the Redwoods in Santa Rosa.
“Additionally, Abridge will usually seize one thing that I mentally screened out, however was truly the affected person’s major concern. When sufferers see it within the abstract, they actually recognize that I included it and really feel extra heard.”
Trying forward
Whereas outcomes have been constructive, the examine famous variations within the affect of ambient AI primarily based on clinician gender and medical specialty. These findings underscore the necessity for additional analysis as this quickly evolving expertise is scaled.
“This examine highlights the ability of analysis to show the real-world worth of rising applied sciences,” stated Matthew Solomon, M.D., Ph.D., chief scientific officer at Sutter Well being. “It’s a robust instance of how Sutter is constructing a studying well being system—one the place data is shared, scaled and utilized to raised help sufferers and care groups.”
Extra data:
Cheryl D. Stults et al. Analysis of an Ambient Synthetic Intelligence Documentation Platform for Clinicians, JAMA Community Open (2025). DOI: 10.1001/jamanetworkopen.2025.8614. jamanetwork.com/journals/jaman … /fullarticle/2833433
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