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

Design and Usability of Clinical Software and EHRs (348) Artificial Intelligence (2127) Clinical Informatics (1325) Usability Evaluation Case Studies (259) Applications of AI (285)

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 (2) Tweetations Metrics

Journals

  1. Almeida V, Dantas M, Phuyal D, Shen F. Enhancing Perioperative Documentation With Artificial Intelligence Scribes in Anesthesiology. Anesthesia & Analgesia 2025 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