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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

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;33(9):1780 View
  6. Tran V, Lau L, Lee S, Paddle P, Rodrigues M, Wong C. Patient Acceptability, Perceptions and Concerns Regarding Artificial Intelligence Scribes in Outpatient Dermatology Clinics. Australasian Journal of Dermatology 2026 View
  7. Nong P. Starting to Spread and Scale Ethical AI Governance Across the Country. The American Journal of Bioethics 2026;26(8):93 View
  8. Nguyen O, Afshar M, Jaeb M, Ryan Baumann M, Resnik F, Gravel Sullivan A, Wills G, Dambach J, Mrotek L, Quinn M, Abramson K, Kleinschmidt P, Brazelton T, Leaf M, Twedt H, Patterson B, Liao F, Rasmussen S, Burnside E, Wiegmann D, Gordon J. Ambient Artificial Intelligence Scribes in Ambulatory Care: Patient Acceptability and Trust. Applied Clinical Informatics 2026;17(04):701 View
  9. DeCamp M, Snyder Sulmasy L, Karches K, Deep N, Moreno A, Andrews R, Arbaje A, Beachy M, Bruera E, Calvano T, DeMartino E, Fellers McKenzie A, Goldman J, Lyckholm L, Mercado L, Suri I. Ethics and Professionalism in Artificial Intelligence and Medical Practice: A Position Paper From the American College of Physicians. Annals of Internal Medicine 2026 View
  10. Kathiramalai S, Davis T, Schaller G. Patient Attitudes Towards Ambient Artificial Intelligence in Clinical Consultations. Cureus 2026 View
  11. Kashiouris M, Miner A, Saleh S, Scripps M, Stanton L, Samuel G, Dibble B. The Effect of Ambient Artificial Intelligence Documentation on Clinician Workload, Efficiency, and Patient Experience in a Multisite Emergency Department Network. Applied Clinical Informatics 2026;17(04):767 View
  12. Wright A, Seaters D, DeLemos C. Navigating Collective Bargaining Barriers to the Implementation of AI Scribe Technology Among Ambulatory Advanced Practice Providers: Mixed Methods Quality Improvement Study. JMIR Formative Research 2026;10:e92364 View
  13. McGrath R. AI-Mediated Relational Competence in Medical Education: A Construct Rationale and Curriculum Maturity Framework (Preprint). JMIR Medical Education 2026 View
  14. O´Kane R, Stonehouse-Smith D, Shirazi M, Hutchinson R, Seehra J, Cobourne M. For the record: a narrative review of ambient voice technology in clinical documentation for dentistry and wider healthcare. British Dental Journal 2026;241(6):385 View

Books/Policy Documents

  1. Alsufi M, Alsayed S, Alsufi M, Qtaishat F. Breakthroughs in Smart Nursing With Generative AI. View