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Evaluating an artificial intelligence scribe for clinical documentation.

Jordan M Alpert1, Robert Saper2, Eric Boose3

  • 1Cleveland Clinic, Center for Value-Based Care Research, Cleveland, OH, USA.

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|November 24, 2025
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Summary
This summary is machine-generated.

Artificial intelligence (AI) scribe tools show promise for reducing physician workload by decreasing typing time. However, integration challenges and limitations in handling complex cases must be addressed for widespread adoption and to effectively combat burnout.

Keywords:
Artificial intelligencedigital healthhealth communicationshealth informaticsmixed methods

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Area of Science:

  • Medical Informatics
  • Clinical Workflow Optimization
  • Artificial Intelligence in Healthcare

Background:

  • Physician burnout is a significant issue, often exacerbated by extensive time spent on electronic health record (EHR) documentation.
  • AI-based ambient listening technology offers a potential solution for automating clinical scribing tasks.
  • Reducing documentation time can alleviate burnout and improve work-life balance for clinicians.

Purpose of the Study:

  • To evaluate the impact of an AI scribe tool on primary care physicians' habits.
  • To assess changes in burnout, mental demand, and EHR time perceptions after tool implementation.
  • To identify facilitators and barriers to the adoption of AI scribe technology.

Main Methods:

  • Ten primary care physicians with high EHR out-of-hours time participated.
  • Baseline and post-intervention surveys measured burnout (Mini Z 2.0) and workload (NASA TLX).
  • Mixed-methods approach combining quantitative data with semistructured interviews.

Main Results:

  • A significant decrease in characters typed by physicians was observed (15,398 characters; p=0.03).
  • No significant changes were found in burnout, mental demand, or EHR time.
  • Key facilitators included perceived accuracy and potential workload reduction; barriers involved lack of EHR integration and handling complex consultations.

Conclusions:

  • AI scribe tools can reduce typing burden but did not significantly impact overall burnout or workload in this study.
  • Successful implementation requires addressing barriers such as EHR integration and advanced clinical scenario handling.
  • Further development is needed for widespread acceptance and to realize the full potential of AI scribes in reducing physician burden.