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. 2025 Feb 1;32(2):375-380.
doi: 10.1093/jamia/ocae295.

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden

Affiliations

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden

Shreya J Shah et al. J Am Med Inform Assoc. .

Abstract

Objective: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.

Materials and methods: This prospective quality improvement study was conducted at Stanford Health Care with 48 physicians over a 3-month period. Outcome measures included burden, burnout, usability, and perceived time savings.

Results: Paired survey analysis (n = 38) revealed large statistically significant reductions in task load (-24.42, p <.001) and burnout (-1.94, p <.001), and moderate statistically significant improvements in usability scores (+10.9, p <.001). Post-survey responses (n = 46) indicated favorable utility with improved perceptions of efficiency, documentation quality, and ease of use.

Discussion: In one of the first pilot implementations of ambient AI scribe technology, improvements in physician task load, burnout, and usability were demonstrated.

Conclusion: Ambient AI scribes like DAX Copilot may enhance clinical workflows. Further research is needed to optimize widespread implementation and evaluate long-term impacts.

Keywords: ambient intelligence; ambient scribes; artificial intelligence; documentation; informatics.

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Conflict of interest statement

T.S. reported having a patent for Well-being Index Instruments and Mayo Leadership Impact Index, with royalties paid from Mayo Clinic, and receiving honoraria for presenting grand rounds and keynote lectures and advising health care organizations on clinician well-being. All other authors have no competing interests to declare.

Figures

Figure 1.
Figure 1.
Post Survey Likert scale results (n = 46).
Figure 2.
Figure 2.
Post survey results of perceived time savings (n = 46).

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