Abridge AI Scribes Reduce Physician Burnout by 74% Across Six U.S. Health Systems

Multiple U.S. Health Systems (incl. Yale New Haven Health System) deployed Large Language Models & Generative AI for Clinical Documentation & Patient Records in Hospital & Health System. As reported by medicine.yale.edu: 74% reduction in burnout odds.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
74%Reduction in Burnout Odds
51.9%Physicians Reporting Burnout (Before)
38.8%Physicians Reporting Burnout (After)

Source-reported figures (cited source: medicine.yale.edu)

Multiple U.S. Health Systems (incl. Yale New Haven Health System)
Metric Before After Impact
Physicians Reporting Burnout 51.9% 38.8% 74% lower odds of burnout; 13.1 percentage point reduction

What Multiple U.S. Health Systems (incl. Yale New Haven Health System) was trying to fix

Physicians were spending more than half of their workdays documenting appointments in electronic health records, driving mass burnout and pushing doctors out of practice—particularly in primary care. Prior studies on AI scribes were limited to small, single-center evaluations, leaving the broader clinical impact unclear.

What Multiple U.S. Health Systems (incl. Yale New Haven Health System) deployed

263 physicians across six U.S. health systems (a mix of academic medical centers and community hospitals) deployed Abridge, an ambient AI scribe that works in the background during patient visits and automatically generates structured medical notes. Clinicians were surveyed on burnout before adoption and again 30 days after.

Results

Burnout prevalence dropped from 51.9% to 38.8% after just one month of use, representing 74% lower odds of experiencing burnout. Benefits were consistent across diverse care settings, marking the first large multicenter evaluation of AI scribes on clinician experience. Findings were published in JAMA Network Open.

Key Takeaways

  • Even 30 days of ambient AI scribe use produces measurable, significant burnout reduction at scale.
  • Multicenter validation shows the benefit is not limited to single high-performing sites—it generalizes across academic and community settings.
  • Shifting documentation burden to AI allows physicians to re-engage with patients conversationally, addressing a core driver of dissatisfaction.

Evidence for Multiple U.S. Health Systems (incl. Yale New Haven Health System)'s Clinical Documentation & Patient Records deployment

Reported outcome metrics
3 cited below
Cited source
medicine.yale.edu
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Multiple U.S. Health Systems (incl. Yale New Haven Health System)

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