Harvard study documents how clinicians use AI
A study of about 950,000 US clinicians found most queries to an AI platform concerned treatment decisions.
Event / data period:
Published: · Updated:
Researchers at Harvard Medical School and Brigham and Women’s Hospital studied OpenEvidence use by about 950,000 US physicians, physician assistants and nurse practitioners. Published in JAMA on 15 October, the study reported that monthly active users rose from 355 to 703,265 between January 2024 and June 2026, and that practitioners submitted 270 million queries.
Classification of a random sample of 38.8 million queries found that 51.9% concerned clinical decision-making, particularly treatment and management, while 13.9% concerned diagnosis. The study measures use of one platform; it does not test whether patient outcomes improved. The researchers said that question remains for future work.
Data
Research record
Research announcement published 15 October
- · Occurred
OpenEvidence usage study
About 950,000 clinicians; 270 million queries from January 2024 to June 2026 and a classified sample of 38.8 million queries.
Methodology
Usage figures are from the study described by Harvard; they should not be read as patient outcomes or as all clinician use beyond this platform.
Updated:
Subjects and places
Subject proposals
- Artificial intelligenceSuggested
- Subject suggested from the title or summary: AIhms.harvard.edu ↗
Geographic references
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- United States · Place role: Coverage · Place type: Country or area · Location precision: RegionalEvidence
- Explicit preserved editorial country/region; no city or national centroid inferredhms.harvard.edu ↗