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Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76743, first published .
Doctor discussing patient care with colleagues in a medical setting.

Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Journals

  1. Knitza J, Aries P. Ambient AI scribes in rheumatology: early real-world clinician and patient experience. EULAR Rheumatology Open 2025:100101 View
  2. Devereux C, Murphy C, Pallin N, Mulligan B, Araz K, Jacob B, Redmond P. AI Digital Scribe Template Enhancement for Non-Specific Symptom Documentation in Irish General Practice: A Mixed-Methods Feasibility Protocol. HRB Open Research 2026;9:11 View
  3. Coiera E, Fraile-Navarro D. AI Scribes: Are We Measuring What Matters?. JMIR Medical Informatics 2026;14:e89337 View
  4. Kuiper L, Watson A, Eckerson A, Lima F, Lin Y, Davis T, Trammell V, Nahar V, Saurabh C. Adoption of AI-Based Scribes in Telemedicine: Provider Attitudes and Insights. Telemedicine and e-Health 2026;32(6):617 View
  5. Kanaparthy N, Villuendas-Rey Y, Bakare T, Diao Z, Iscoe M, Loza A, Wright D, Safranek C, Faustino I, Brackett A, Melnick E, Taylor R. Correction: Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review. JMIR AI 2026;5:e93250 View
  6. Wolfe J, Welsh S. Ambient Documentation Systems in Emergency Medicine: A Scoping Review of Clinical Precision, Patient Experience, Throughput, and Quality. Cureus 2026 View
  7. Sumner J, Lim Y, Tan T, Makmur A, Forbes P, Phua J, Quek L, Ngoh C. The MediVoice implementation journey: ambient artificial intelligence for clinical documentation. Frontiers in Digital Health 2026;8 View
  8. Guo Y, Hu D, Yang Z, Chow E, Tam S, Perret D, Pandita D, Zheng K. Clinicians’ rationale for editing ambient AI–drafted clinical notes: persistent challenges and implications for improvement. Journal of the American Medical Informatics Association 2026 View
  9. Kinachtchouk N, Canes D. Artificial Intelligence in Urologic Documentation: A Review of Emerging Capabilities and the Ongoing Need for Human Oversight. Current Urology Reports 2026;27(1) View
  10. Mandrella M, Dück R, Scholz J. Anwendungen der künstlichen Intelligenz für effizientere Krankenhausprozesse. Die Innere Medizin 2026;67(6):625 View
  11. . AI Clinical Scribe Limitations: Scoping Review with ☸️SAIMSARA. SAIMSARA Journal 2026;1(3) View
  12. Ronquillo C. Beyond Time Saved: Implementation, Equity, and the Utility Threshold for Nursing AI Scribes. Journal of Medical Internet Research 2026;28:e101190 View
  13. Sztabinski M, Weichbroth P. Deep Learning in Medical Speech to Text: Methods and Challenges. Symmetry 2026;18(6):885 View
  14. Kuhn T. From Clinical Encounter to Draft Documentation: A Mechanistic Narrative Review of Ambient Scribe Technology. Cureus 2026 View
  15. Nassehi D, Hetlevik Ø, Breivold J. Exploring AI scribes in Norwegian general practice: a qualitative individual interview study. Scandinavian Journal of Primary Health Care 2026;44(1) View
  16. Carmichael G, Di Tano V, Wright C, Al‐Sharea A, Kovoor J, Gonzalez‐Chica D, Jacob M. Artificial Intelligence‐Enhanced Dictation Improves Efficiency in a Regional General Surgery Clinic: A Quasi‐Experimental Pilot Study. ANZ Journal of Surgery 2026 View
  17. Chen C, Leung T, Bajra R. Re-Centering Clinical Documentation in the Age of AI Scribes: Four Aims of the Patient Chart Note. JMIR Medical Education 2026;12:e95218 View