Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 22, 2026Applied Clinical Informatics

Large-Scale Implementation of Ambient AI Documentation and Its Effects on EHR Efficiency and Clinician Well-Being

View Full Paper
Ask AI
Bookmark
Share

Authors

ASAndrew SvetlyERElie RazzoukMMMary McLean

Discussion

Loading...

Member takes

Overview

Retrospective pre-post study reveals ambient AI reduces documentation time and burnout among ambulatory clinicians, suggesting effective alleviation of administrative burden.

Key Points

  • To evaluate the impact of an ambient AI documentation tool (DAX Copilot) on electronic health record efficiency, note composition practices, and clinician well-being across a large multi-state health system.
  • Retrospective index-date-aligned pre-post analysis of objective Epic Signal EHR activity metrics across 8 months pre- and post-activation.
  • Included 210 ambulatory physicians and advanced practice providers who generated ≥25% of note content via ambient AI and had 16 months of EHR data.
  • Administered a follow-up survey 45 days post-activation (n=233; 26.4% response rate) assessing burnout, job satisfaction, and work-life balance.
  • Active note time decreased significantly from 5.54 to 4.09 minutes per appointment (a 26.2% reduction; p<0.001).
  • Manual documentation behaviors declined markedly despite a 28.8% increase in note length, including reductions in typing (-51.7%), copy/paste (-42.7%), and conventional voice recognition (-67.8%).
  • Survey respondents reported reduced burnout, improved work-life balance, increased job satisfaction, and a strong preference to continue using ambient AI.

Cite This Study

Svetly et al. (2026) studied this question.

synapsesocial.com/papers/6a895f2aca7ade938187da44https://doi.org/10.1055/a-2936-7516
View Full Paper
Ask AI
Bookmark
Share