Ambient Artificial Intelligence Scribes and Physician Financial Productivity
This cohort study evaluates physician revenue, patient volumes, and claim denials among adopters and nonadopters of artificial intelligence–based clinical documentation tools in one health system.
Authors
- Robert Thombley (ORCID: https://orcid.org/0000-0003-1933-1494)
- Orianna DeMasi (ORCID: https://orcid.org/0000-0002-2101-6189)
- Rhiannon Croci (ORCID: https://orcid.org/0000-0001-8285-797X)
- Cynthia Fenton (ORCID: https://orcid.org/0009-0001-6592-8745)
- Hossein Soleimani (ORCID: https://orcid.org/0000-0002-3086-8463)
- Sara G. Murray (ORCID: https://orcid.org/0000-0003-3910-3739)
- Jinoos Yazdany
- Maria E. Byron
- A Jay Holmgren
Institutions
- University of California, San Francisco (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2026-01-09
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.53233
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 88.51
Funders
- Arnold Ventures
- National Institutes of Health
- Agency for Healthcare Research and Quality
- University of California, San Francisco
- National Institute of Child Health and Human Development
- U.S. National Library of Medicine
- Eunice Kennedy Shriver National Institute of Child Health and Human Development