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

A healthcare professional wearing glasses and dark scrubs sits at a desk with a laptop, holding a stethoscope in his hand while working in a bright, modern medical office environment.
Image Credit: Photo by Thirdman on Pexels (SourceLicense)

AI Summary of Peer-Reviewed Research

This page presents an AI-generated summary of a published research paper. The original authors did not write or review this article. See full disclosure ↓

⚠️ This article summarizes published research and is intended for informational purposes only. It does not constitute medical advice or clinical guidance.

JAMA·2026-04-01·Peer-reviewed·View original paper ↗·Follow this topic (RSS)
Publication Signals show what we were able to verify about where this research was published.MODERATECore publication signals for this source were verified. Publication Signals reflect the source’s verifiable credentials, not the quality of the research.
  • ✔ Peer-reviewed source
  • ✔ No retraction or integrity flags

Key findings from this study

  • The study found that AI scribe adoption decreased total EHR time expenditure among clinicians.
  • The authors report that documentation time declined following AI scribe implementation.
  • The researchers demonstrate that weekly visit volume increased modestly concurrent with AI adoption.

Overview

AI-powered scribes were adopted in clinical settings and associated with decreased time clinicians spent on electronic health records and documentation tasks. Weekly visit volume increased modestly following adoption.

Methods and approach

The abstract does not specify the methodological approach, sample characteristics, study duration, or analytical framework employed in this investigation.

Results

AI scribe adoption correlated with modest reductions in total EHR time expenditure among clinicians. Documentation time similarly decreased following implementation. Concurrent with these time reductions, clinicians increased their weekly visit volume by a modest margin. The magnitude of these changes indicates measurable but incremental shifts in clinical workflow patterns rather than transformative alterations.

Implications

Reduced administrative burden through AI-assisted documentation may create capacity for increased patient encounters without proportional increases in clinician effort. This efficiency gain could improve clinic throughput and potentially expand access to clinical services within existing resource constraints. However, the modest scale of changes suggests AI scribes function as incremental workflow optimizations rather than fundamental restructuring technologies.

Scope and limitations

This summary is based on the study abstract and available metadata. It does not include a full analysis of the complete paper, supplementary materials, or underlying datasets unless explicitly stated. Findings should be interpreted in the context of the original publication.

Disclosure

  • Research title: Changes in Clinician Time Expenditure and Visit Quantity With Adoption of Artificial Intelligence–Powered Scribes
  • Authors: Lisa S. Rotenstein, A. Jay Holmgren, Robert Thombley, Aditi Sriram, Reema H. Dbouk, Melissa Jost, Debbie Aizenberg, Scott MacDonald, Naga Kanaparthy, Brian Williams, Allen Hsiao, Lee Schwamm
  • Institutions: Brigham and Women's Hospital, Emory University, Mass General Brigham, Political Research Associates, San Francisco Department of Public Health, UC Davis Health, UC San Diego Health System, University of California Davis Medical Center, University of California, Davis, University of California, San Francisco, Yale New Haven Health System, Yale University
  • Publication date: 2026-04-01
  • DOI: https://doi.org/10.1001/jama.2026.2253
  • OpenAlex record: View
  • Image credit: Photo by Thirdman on Pexels (SourceLicense)
  • Disclosure: This post was generated by Claude (Anthropic). The original authors did not write or review this post.

Get the weekly research newsletter

Stay current with peer-reviewed research without reading academic papers — one filtered digest, every Friday.

More posts