Activity

Activity ID

14951

Expires

April 1, 2029

Format Type

Journal-based

CME Credit

1

Fee

$30

CME Provider: JAMA

Description of CME Course

Importance  Artificial intelligence (AI)–enabled scribes have been proposed to reduce electronic health record (EHR) burden and improve clinician satisfaction. There is limited evidence about their associated results across multiple sites and relative benefits for different clinician groups.

Objective  To assess the association of AI scribe adoption with changes in EHR time expenditure and visit volume and how associations vary by clinician characteristics.

Design, Setting, and Participants  Multisite, longitudinal cohort study of AI scribe adoption conducted at 5 US academic health care institutions that introduced AI scribes to their clinicians between June 2023 and August 2025. Participants were ambulatory clinicians.

Exposures  AI scribe adoption, defined as receiving access to an AI scribe. This was determined by opt-in decisions by eligible physicians at 4 of the 5 sites.

Main Outcome and Measures  Total time spent on the EHR, time spent on documentation, and time spent on the EHR outside scheduled hours or on unscheduled days, all normalized to 8 scheduled patient hours; weekly visit volume.

Results  The sample comprised 8581 clinicians, including 1809 AI scribe adopters. Participants were 57.1% female and were split between primary care (24.4%), medical (62.4%), and surgical (13.2%) specialties. Most (74.1%) were attending physicians, with 18.1% advanced practice clinicians and 7.8% resident physicians. In a difference-in-differences analysis, AI scribe adoption was associated with 13.4 (95% CI, 9.1-17.7) fewer minutes of EHR time, 16.0 (95% CI, 13.7-18.3) fewer minutes of documentation time, and 0.49 (95% CI, 0.17-0.81) additional weekly visits delivered. Electronic health record time outside work hours did not change significantly. Changes associated with AI scribe adoption were greatest for primary care specialists, advanced practice clinicians, female clinicians, and clinicians who used AI scribes in 50% or more of visits.

Conclusions and Relevance  AI scribe adoption was associated with modest decreases in total EHR time and documentation time and with a modest increase in weekly visit volume.

Disclaimers

1. This activity is accredited by the American Medical Association.
2. This activity is free to AMA members.

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Educational Objectives

To identify the key insights or developments described in this article.

Keywords

Artificial Intelligence, Artificial Intelligence, Digital Health, Digital Health, Health Care Workforce

Competencies

Medical Knowledge

CME Credit Type

AMA PRA Category 1 Credit

DOI

10.1001/jama.2026.2253

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