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Researchers at Sutter Well being, led by Cheryl Stults, Ph.D., discovered that an progressive ambient synthetic intelligence platform confirmed promising ends in easing the burden of scientific documentation for well being care suppliers. The research, printed at the moment in JAMA Community Open, revealed important reductions in documentation time and improved total clinician satisfaction. It additionally highlights the know-how’s potential to handle long-standing challenges within the medical occupation.
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
Improved well-being: Use of ambient AI led to a marked discount in psychological demand, together with feeling rushed and perceived problem in documentation duties.
Enhanced job satisfaction: Total satisfaction with work improved, and a few reductions in burnout had been noticed (42.1% to 35.1%, p=0.12). One survey respondent mentioned, “I go home happy. It’s [bringing] back the joy of medicine—taking care of patients without the drain of doing clerical work.”
“Our research findings demonstrate the potential of ambient AI to not only save clinicians time, but also enhance their well-being by alleviating the burden associated with documentation tasks,” mentioned Veena Jones, M.D., senior writer of the research and Sutter Well being’s chief medical data officer.
“This support also has a ripple effect for patients, who lie at the heart of our work. Ambient AI helps clinicians be more present with patients during their appointments, so they can focus more closely on their care.”
The rising calls for of digital well being file documentation, particularly exterior common clinic working hours, have negatively impacted well being care professionals leading to rising charges of burnout amongst physicians. Ambient AI gives an progressive possibility by listening to scientific visits and producing correct and arranged progress notes, permitting clinicians to focus extra time with their sufferers throughout every go to.
Research overview
The research, 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 important enhancements, together with lowered “time in notes” and decreased cognitive burden. As well as, the know-how, supplied by the corporate Abridge, enabled clinicians to raised join with their sufferers, enhancing the general care expertise.
“Patients love it. They thank me at the end of each visit for spending so much time with them, when really it’s the same amount of time,” mentioned Emily Conway, M.D., a heart specialist with Sutter Medical Group of the Redwoods in Santa Rosa.
“Also, Abridge will often capture something that I mentally screened out, but was actually the patient’s main concern. When patients see it in the summary, they really appreciate that I included it and feel more heard.”
Wanting forward
Whereas outcomes had been optimistic, the research famous variations within the impression of ambient AI primarily based on clinician gender and scientific specialty. These findings underscore the necessity for additional analysis as this quickly evolving know-how is scaled.
“This study highlights the power of research to demonstrate the real-world value of emerging technologies,” mentioned Matthew Solomon, M.D., Ph.D., chief scientific officer at Sutter Well being. “It is a strong example of how Sutter is building a learning health system—one where knowledge is shared, scaled and applied to better support patients and care teams.”
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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Ambient AI know-how can scale back documentation burden for well being care suppliers (2025, Might 2)
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