PofoliaShared via Pofolia

JAMA· 2026

Changes in Clinician Time Expenditure and Visit Quantity With Adoption of Artificial Intelligence–Powered Scribes

Lisa S. Rotenstein, A. Jay Holmgren, Robert Thombley, Aditi Sriram et al.

Short summary

Adoption of AI-powered scribes was associated with 13.4 fewer minutes of EHR time and 16.0 fewer minutes of documentation time per 8-hour day, and a 0.49 increase in weekly visits among 8,581 clinicians across 5 US academic health care institutions.

AI-generated from the title and abstract; the full text is not read.

Key points

  • AI scribe adoption was linked to 13.4 fewer minutes of total EHR time per 8-hour day.
  • Documentation time decreased by 16.0 minutes per 8-hour day with AI scribe use.
  • Clinicians adopting AI scribes saw an average increase of 0.49 visits per week.
  • Benefits were greatest for primary care, advanced practice clinicians, and female clinicians.

AI-generated from the title and abstract; the full text is not read.

Abstract

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.

The authors' abstract, as published at the source. JAMA, 2026 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Health Information Management

Health Information ManagementHealth Professions