Use of an AI Scribe and Electronic Health Record Efficiency

In this retrospective cohort study, clinicians using an AI scribe spent significantly less time in the EHR and in notes in both pre-post and propensity score analyses. These findings suggest that AI scribes may improve documentation efficiency and reduce clinician workload.

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Publication Details

Journal
JAMA Network Open
Published
2025-10-10
DOI
https://doi.org/10.1001/jamanetworkopen.2025.37000
Citations
5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.27
Controls
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article

Use of an AI Scribe and Electronic Health Record Efficiency

Wen Wan, Neda Laiteerapong, Sachin Shah, Kevin Pearlman
5 citations
JAMA Network Open
Artificial Intelligence in Healthcare and Education
3.27
article

Use of an AI Scribe and Electronic Health Record Efficiency

Wen Wan, Neda Laiteerapong, Sachin Shah, Kevin Pearlman
article en
5 citations

Abstract

In this retrospective cohort study, clinicians using an AI scribe spent significantly less time in the EHR and in notes in both pre-post and propensity score analyses. These findings suggest that AI scribes may improve documentation efficiency and reduce clinician workload.

JAMA Network OpenVol. 8(10)
University of Chicago (US)
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
3.27
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