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

Research Letter (62) Artificial Intelligence (2310) Applications of AI (327) Patient-Clinician Relationship (38) Information Quality in Digital Media (414) Generative Language Models Including ChatGPT (782) AI Language Models in Health Care (234) Ambient AI Scribes and AI-Driven Documentation Technologies (22)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64993, first published .
Accuracy and Safety of AI-Enabled Scribe Technology: Instrument Validation Study

Accuracy and Safety of AI-Enabled Scribe Technology: Instrument Validation Study

Accuracy and Safety of AI-Enabled Scribe Technology: Instrument Validation Study

Authors of this article:

Joshua Biro1 Author Orcid Image ;   Jessica L Handley1 Author Orcid Image ;   Nathan K Cobb2, 3 Author Orcid Image ;   Varsha Kottamasu2 Author Orcid Image ;   Jeffrey Collins2 Author Orcid Image ;   Seth Krevat1, 3 Author Orcid Image ;   Raj M Ratwani1, 3 Author Orcid Image
Article Authors Cited by (18) Tweetations (2) Metrics

Journals

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  8. Leiserowitz G, Mansfield J, MacDonald S, Jost M. Patient Attitudes Toward Ambient Voice Technology: Preimplementation Patient Survey in an Academic Medical Center. JMIR Medical Informatics 2025;13:e77901 View
  9. Wang V, Aabedi A, Danial L, Harper H, Blan B. Artificial intelligence scribing in dermatology. International Journal of Research in Dermatology 2025;12(1):93 View
  10. Irons J, Duenser A, Pickett T, Haysom G, McGrath M. AI in medical practice: doctors’ perspective on the benefits, challenges and facilitators of artificial intelligence scribe use. Health and Technology 2026 View
  11. O’Neil E, Rodman A, Lehmann L. Balancing Innovation and Ethics: Ambient Listening Artificial Intelligence in Health Care. Mayo Clinic Proceedings: Digital Health 2026;4(1):100341 View
  12. Coiera E, Fraile-Navarro D. AI Scribes: Are We Measuring What Matters?. JMIR Medical Informatics 2026;14:e89337 View
  13. Schneider K, Swann-Thomsen H, Ribbens T, Bahnmaier L, Satterfield T, Pullicar R, Soni N. The impact of artificial intelligence scribes on physician and advanced practice provider cognitive load and well-being. Journal of the American Medical Informatics Association 2026 View
  14. Wang A, Almeida V. A new era of efficiency: artificial intelligence scribes and the future of ophthalmology. Eye 2026 View
  15. Harvey C, Morita J, Huynh W, Woo R, Lee J. Ambient Artificial Intelligence Scribe Implementation in an Ambulatory Setting: Experience and Outcomes from a Single Medical Group (Preprint). JMIR Medical Informatics 2025 View
  16. Menz B, Scarfo N, Modi N, Cornelisse E, Li L, Tan J, Gandhi J, Maher D, Kousa D, Daniel K, Menon V, Bacchi S, McKinnon R, Wiese M, Rowland A, Sorich M, Hopkins A. Vision-Enabled AI scribes reduce omissions in clinical conversations: evidence from simulated medication histories. npj Digital Medicine 2026 View
  17. Marquis T, Kopp M, Anderson J, Napoli A, Brown L, Berlyand Y. AI-Powered Ambient Scribe Technology Experiences Among Emergency Physicians: Cross-Sectional, Mixed Methods Pilot Survey Study. JMIR Formative Research 2026;10:e80401 View
  18. Brundage D. A systematic audit of transparency and validation disclosure in commercial veterinary artificial intelligence. Frontiers in Veterinary Science 2026;13 View