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

Editorial (7) Clinical Informatics (2306) Safety and Error Prevention in Health (325) Electronic Health Records (1749) Quality Improvement (373) New Technologies (162) AI Language Models in Health Care (757) Ambient AI Scribes and AI-Driven Documentation Technologies (112)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89337, first published .
Doctor shows tablet to senior woman, discussing health results

AI Scribes: Are We Measuring What Matters?

AI Scribes: Are We Measuring What Matters?

Authors of this article:

Enrico Coiera1 Author Orcid Image ;   David Fraile-Navarro1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Sorin V, Klang E. AI Scribe Safety: Measuring What Happens After Signing. JMIR Medical Informatics 2026;14:e103162 View
  2. Biro J, Pines J, Jayaraman S, Chagari V, Ratwani R. A Conceptual Model for Ambient AI Adoption: Perspectives From Academia and Industry. JMIR Medical Informatics 2026;14:e91098 View
  3. Seuren L, Williams R, Cresswell K. Beyond productivity: a NASSS-informed review of implementation risks and research priorities for ambient AI scribes in healthcare. BMJ Digital Health & AI 2026;2(1):e000091 View