Accessibility settings

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

Ambient AI Scribes and AI-Driven Documentation Technologies (96) Natural Language Processing (1225) Electronic Health Records (1658) E-Health / Health Services Research and New Models of Care (1148) Computerized History Taking (23)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77901, first published .
Doctor and patient look at computer screen showing AI robot

Patient Attitudes Toward Ambient Voice Technology: Preimplementation Patient Survey in an Academic Medical Center

Patient Attitudes Toward Ambient Voice Technology: Preimplementation Patient Survey in an Academic Medical Center

Authors of this article:

Gary Leiserowitz1 Author Orcid Image ;   Jeff Mansfield1 Author Orcid Image ;   Scott MacDonald1 Author Orcid Image ;   Melissa Jost1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Coiera E, Fraile-Navarro D. AI Scribes: Are We Measuring What Matters?. JMIR Medical Informatics 2026;14:e89337 View
  2. 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
  3. Kuhn T. From Clinical Encounter to Draft Documentation: A Mechanistic Narrative Review of Ambient Scribe Technology. Cureus 2026 View
  4. Heimbruch H, Solomon W, Junaid S, Eke D, Tata L, Oluwadare O, Shehu H. Autonomous Medical Documentation Pipelines: Integrating Large Language Models and Cloud Speech Services to Reduce Clinician Administrative Burden and EHR Workflow Bottlenecks. Epidemiology and Health Data Insights 2026;2(4):ehdi045 View
  5. Taylor S, Aizenberg D, Jost M, Ren Y, Lyles C, Adams J. Effect of use of ambient listening technology on patient-reported communication and satisfaction ratings. Journal of the American Medical Informatics Association 2026 View