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

Reviews in AI (185) Design of Processes and Workflows (290) Electronic Health Records (1738) Computerized History Taking (24) Artificial Intelligence in Industry (46) Generative Language Models Including ChatGPT (1534) Ambient AI Scribes and AI-Driven Documentation Technologies (112)

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

Authors of this article:

Naga Sasidhar Kanaparthy1, 2, 3 Author Orcid Image ;   Yenny Villuendas-Rey4 Author Orcid Image ;   Tolulope Bakare5 Author Orcid Image ;   Zihan Diao3 Author Orcid Image ;   Mark Iscoe1, 3 Author Orcid Image ;   Andrew Loza1, 2 Author Orcid Image ;   Donald Wright1, 2, 3 Author Orcid Image ;   Conrad Safranek3 Author Orcid Image ;   Isaac V Faustino3 Author Orcid Image ;   Alexandria Brackett6 Author Orcid Image ;   Edward R Melnick1, 3 Author Orcid Image ;   R Andrew Taylor1, 3, 7 Author Orcid Image
Article Authors Cited by (32) Tweetations Metrics

Journals

  1. Knitza J, Aries P. Ambient AI scribes in rheumatology: early real-world clinician and patient experience. EULAR Rheumatology Open 2026;2(2):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;33(7):1345 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
  18. 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
  19. Atiku S, Olakotan O. An Evaluation of AI‐Generated Clinical Notes in the OpenNotes Era: A Thematic Analysis of Clinician Discourse. Journal of Evaluation in Clinical Practice 2026;32(5) View
  20. Frost B, Collier V, Sturgill F, Polson J, Jones J. Selecting, Scaling, and Measuring the Value of Ambient AI in a Nonacademic Health System: Multiphase Pilot Study. JMIR Medical Informatics 2026;14:e87450 View
  21. Miao J, Thongprayoon C, Cheungpasitporn W. The Role of Artificial Intelligence in Nephrology Education. Advances in Kidney Disease and Health 2026 View
  22. Sanmark E, Vartiainen V, Sanmark J, Wettin K, Saari L, Entezarjou A. Evaluation of an AI Medical Scribe After 236,153 Notes Generated Across Care Levels in a European Health System: Mixed Methods Retrospective Observational Study. JMIR Medical Informatics 2026;14:e90052 View
  23. 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
  24. Malik P, Bednarek A. Could ambient artificial intelligence scribes offer a promising digital health solution to reduce physician burnout and documentation burden in Poland? A narrative review. Polish Journal of Public Health 2026;136:88 View
  25. Togunwa T, Platt J. Ambient AI Scribes as Emerging Infrastructure in the Learning Health System. Learning Health Systems 2026;10(4) View
  26. Bang S, Han S, Reading Turchioe M, Ellison M, Dai S, Happ M, Russell D, Masterson Creber R. Developing and evaluating human-led and large language model–assisted hybrid deductive–inductive workflows for qualitative analysis. Journal of the American Medical Informatics Association 2026 View
  27. Pallikkara J. The Empowerment Imperative: Reframing Generative AI Integration in Clinical Workflows from Risk Avoidance to Physician Usability (Preprint). JMIR AI 2026 View
  28. Mauldin K, Pham A, Dodaballapur S, Limketkai B. Artificial Intelligence in Clinical Nutrition: Current Uses, Challenges, and Opportunities. Nutrients 2026;18(16):2638 View
  29. Yuh C, Cho C, Lee Y. The AI Colleague: Reimagining Interprofessional Collaboration and Education in Medicine. JMIR Medical Education 2026;12:e94034 View
  30. Atiku S, Owolanke K, Olakotan O. Evaluation of Socio‐Technical Mechanisms Shaping AI Scribe Documentation Failures: A Netnographic Study. Journal of Evaluation in Clinical Practice 2026;32(5) View
  31. R. Sahni N, O’Gorman K, Agarwal R, Thornhill H, Cutler D. The Value Opportunity from Artificial Intelligence in U.S. Health Care Spending. NEJM Catalyst 2026;7(9) View
  32. 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