Ambient Documentation Technology in Clinician Experience of Documentation Burden and Burnout

Promising Early Results: AI Documentation Technology Shows Potential to Reduce Physician Burnout

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DoC-IT's Lisa Rotenstein, MD, MBA, ADAPT director, has published important new research in JAMA Network Open examining ambient documentation technology: AI that listens to patient visits and drafts clinical notes automatically. The study tracked over 1,400 clinicians across Mass General Brigham and Emory Healthcare.

The early findings are encouraging:

  • Burnout rates dropped from 51% to 29% among participating physicians
  • Nearly half of clinicians adopted the AI tool for most patient visits
  • Providers reported significantly improved well-being and renewed "joy in practice"

This research provides valuable evidence that AI documentation tools hold real promise for addressing healthcare's documentation burden crisis – while highlighting the rigorous research still needed.

🔍 What's next? The team calls for further research on how to maximize benefits across all clinician types, whether these improvements can be sustained at scale, and impacts on patient satisfaction and healthcare economics.

Ready to explore the methodology and findings? Click below for the full JAMA Network Open publication.

Read the paper

“Burnout adversely impacts both providers and their patients who face greater risks to their safety and access to care. This is an issue that health systems nationwide are looking to tackle, and ambient documentation provides a scalable technology worth further study.”​​​​​​

Lisa Rotenstein, MD, MBA

Director, Center to Advance Digital Physician Practice Transformation (ADAPT)
Assistant Professor, Division of Clinical Informatics and Digital Transformation (DoC-IT)
Medical Director of Ambulatory Quality and Safety, UCSF Health

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Ambient Documentation Technology in Clinician Experience of Documentation Burden and Burnout
By Jacqueline G. You, MD; Reema H. Dbouk, MD; Adam Landman, MD, MS, MIS, MHS; David Y. Ting, MD; Sayon Dutta, MD, MPH; Julie C. Wang, BS; Amanda J. Centi, PhD; Molly Macfarlane, BA; Eran Bechor, MPH1; Jonathan Letourneau, MDes; Gabrielle Choo-Kang, MS; Esther H. Kim, ScD; Cordula Magee, PhD; Brian J. Lang, BBA; Laura Angelo, BA; Jackson Olin, BS; Michelle Frits, BA2; Christine Iannaccone, MPH; Angela Rui, MA; Ivana Salmikova, BA; Christopher Holland, MBA; Bryan Blanchette, BBA; Rachel Silverman, BA; David W. Bates, MD, MSc; Lisa Rotenstein, MD, MBA; Rebecca G. Mishuris, MD, MPH
JAMA Network Open, August 21, 2025

This study was funded by The Physicians Foundation.

 

About the UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT)
DoC-IT serves as the academic home for applied clinical informatics researchers within the UCSF Department of Medicine. We also serve as a coordinating entity with key internal and external digital stakeholders across all UCSF mission areas, schools, departments, and divisions. Clinical informatics is approached as a multidisciplinary field that involves the use of technology by a broad spectrum of health professionals, patients, and other stakeholders.

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