This paper is in the following e-collection/theme issue:

Design and Usability of Clinical Software and EHRs (359) Artificial Intelligence (2252) Clinical Informatics (1381) Usability Evaluation Case Studies (272) Applications of AI (317) Ambient AI Scribes and AI-Driven Documentation Technologies (20)

Published on in Vol 12 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71434, first published .
Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis

Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis

Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis

Authors of this article:

Emily Ha1, 2 Author Orcid Image ;   Isabelle Choon-Kon-Yune2, 3 Author Orcid Image ;   LaShawn Murray4 Author Orcid Image ;   Siying Luan2 Author Orcid Image ;   Enid Montague4 Author Orcid Image ;   Onil Bhattacharyya2, 5, 6 Author Orcid Image ;   Payal Agarwal2, 6 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Almeida V, Dantas M, Phuyal D, Shen F. Enhancing Perioperative Documentation With Artificial Intelligence Scribes in Anesthesiology. Anesthesia & Analgesia 2026;142(2):e31 View
  2. Alpert J, Saper R, Boose E, Ruff J, Hopkins K, Gaskins D, Guo N, Schneider J, Giffi Scibona A, Gutierrez J, Rothberg M. Evaluating an artificial intelligence scribe for clinical documentation. DIGITAL HEALTH 2025;11 View
  3. Chandrasekaran R, Moustakas E. Patient attitudes toward ambient artificial intelligence scribes in clinical care: insights from a cross-sectional study. Journal of the American Medical Informatics Association 2026;33(2):263 View
  4. Lakhan S. The Clinician as DIRECTOR: Operationalizing Cinematic Storytelling for Clinical Documentation in the Age of Artificial Intelligence. Cureus 2026 View
  5. Atiku S, Olakotan O, Owolanke K. Usability‐Related Barriers and Facilitators Influencing the Adoption and Use of AI Scribes in Healthcare: A Scoping Review. Journal of Evaluation in Clinical Practice 2026;32(1) View
  6. Coiera E, Fraile-Navarro D. AI Scribes: Are We Measuring What Matters?. JMIR Medical Informatics 2026;14:e89337 View
  7. Saeed A, Breakey R, Saleh D, Tiryaki K, Mayou B, Saeed T. ChatGPT-5 Matches Surgeon-Level Assessment of Facelift Candidacy: A Pilot Proof-of-Concept Study. Aesthetic Plastic Surgery 2026 View