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

Generative Language Models Including ChatGPT (708) Clinical Information and Decision Making (1915) Clinical Informatics (1325) New Methods (1134) Ontologies, Classifications, and Coding (324) Chatbots and Conversational Agents (740) Artificial Intelligence (2129) Digital Health, Telehealth and e-Innovation in Clinical Settings (556)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54419, first published .
Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study

Authors of this article:

Annessa Kernberg1 Author Orcid Image ;   Jeffrey A Gold1 Author Orcid Image ;   Vishnu Mohan1 Author Orcid Image
Article Authors Cited by (51) Tweetations (9) Metrics

Journals

  1. Al-hammuri K, Gebali F, Kanan A. ZTCloudGuard: Zero Trust Context-Aware Access Management Framework to Avoid Medical Errors in the Era of Generative AI and Cloud-Based Health Information Ecosystems. AI 2024;5(3):1111 View
  2. Bellanda V, Santos M, Ferraz D, Jorge R, Melo G. Applications of ChatGPT in the diagnosis, management, education, and research of retinal diseases: a scoping review. International Journal of Retina and Vitreous 2024;10(1) View
  3. Hedderson D, Courtney K, Monkman H, Blanchard I. Speech recognition technology in prehospital documentation: A scoping review. International Journal of Medical Informatics 2025;193:105662 View
  4. Alharbi F, Asiri S. Automated Assessment of Reporting Completeness in Orthodontic Research Using LLMs: An Observational Study. Applied Sciences 2024;14(22):10323 View
  5. Lee C, Britto S, Diwan K. Evaluating the Impact of Artificial Intelligence (AI) on Clinical Documentation Efficiency and Accuracy Across Clinical Settings: A Scoping Review. Cureus 2024 View
  6. Yuan L, Huang S, Chou D, Tsai C. The In-depth Comparative Analysis of Four Large Language AI Models for Risk Assessment and Information Retrieval from Multi-Modality Prostate Cancer Work-up Reports. The World Journal of Men's Health 2025;43(4):918 View
  7. Zhu S, Hu W, Yang Z, Yan J, Zhang F. Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study. JMIR Medical Informatics 2025;13:e63731 View
  8. KADDARI Z, El HACHMI I, BERRICH J, AMRANI R, BOUCHENTOUF T. EVALUATING LARGE LANGUAGE MODELS FOR MEDICAL INFORMATION EXTRACTION: A COMPARATIVE STUDY OF ZERO-SHOT AND SCHEMA-BASED METHODS. Applied Computer Science 2024;20(4):138 View
  9. Saadat S, Khalilizad Darounkolaei M, Qorbani M, Hemmat A, Hariri S. Enhancing Clinical Documentation with AI: Reducing Errors, Improving Interoperability, and Supporting Real-Time Note-Taking. InfoScience Trends 2025;2(1):1 View
  10. Bracken A, Reilly C, Feeley A, Sheehan E, Merghani K, Feeley I. Artificial Intelligence (AI) – Powered Documentation Systems in Healthcare: A Systematic Review. Journal of Medical Systems 2025;49(1) View
  11. Yan Y, Chen Q, Nasir R, Griffin P, Bone C, Tuan W. Characterizing patients at higher cardiovascular risk for prescribed stimulants: Learning from health records data with predictive analytics and data mining techniques. Computers in Biology and Medicine 2025;188:109870 View
  12. Filler G, Niel O. Evaluating large language models in pediatric nephrology. Pediatric Nephrology 2025;40(9):2717 View
  13. Hershenhouse J, Gill K, Nabhani J. The advance of artificial intelligence in outpatient urology: current applications and future directions. Current Opinion in Urology 2025;35(3):214 View
  14. Misurac J, Knake L, Blum J. The Effect of Ambient Artificial Intelligence Notes on Provider Burnout. Applied Clinical Informatics 2025;16(02):252 View
  15. Vidal-Alaball J, Alonso C, Heinisch D, Castaño A, Sánchez-Freire E, Benito Serrano M, Ferrer Pascual C, Menacho I, Acosta-Rojas R, Cardona Gubert O, Farrés Creus R, Armengol Alegre J, Martínez Querol C, Moreno-Martinez M, Gonfaus Font M, Narejos S, Gomez-Fernandez A. Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study. JMIR Research Protocols 2025;14:e66232 View
  16. Khanna A, Wolf T, Frank I, Krueger A, Shah P, Sharma V, Gettman M, Boorjian S, Asselmann D, Tollefson M. Enhancing Accuracy of Operative Reports with Automated Artificial Intelligence Analysis of Surgical Video. Journal of the American College of Surgeons 2025;240(5):739 View
  17. Klufas T, Hanggodo S, Lee C, Negrini E, Zhou A, Grant-Kels J. Implications of artificial intelligence scribe usage. Journal of the American Academy of Dermatology 2025 View
  18. Stephan D, Bertsch A, Schumacher S, Puladi B, Burwinkel M, Al-Nawas B, Kämmerer P, Thiem D. Improving Patient Communication by Simplifying AI-Generated Dental Radiology Reports With ChatGPT: Comparative Study. Journal of Medical Internet Research 2025;27:e73337 View
  19. Goodson D, Garcia B, Hogarth M, Tu S. Artificial intelligence and physician burnout: A productivity paradox. Learning Health Systems 2025;9(4) View
  20. Sumner J, Wang Y, Tan S, Chew E, Wenjun Yip A. Perspectives and Experiences With Large Language Models in Health Care: Survey Study. Journal of Medical Internet Research 2025;27:e67383 View
  21. Croxford E, Gao Y, Pellegrino N, Wong K, Wills G, First E, Schnier M, Burton K, Ebby C, Gorski J, Kalscheur M, Khalil S, Pisani M, Rubeor T, Stetson P, Liao F, Goswami C, Patterson B, Afshar M. Development and validation of the provider documentation summarization quality instrument for large language models. Journal of the American Medical Informatics Association 2025;32(6):1050 View
  22. Nyongesa C, Hogarth M, Pa J. Artificial intelligence-driven natural language processing for identifying linguistic patterns in Alzheimer's disease and mild cognitive impairment: A study of lexical, syntactic, and cohesive features of speech through picture description tasks. Journal of Alzheimer’s Disease 2025;106(1):120 View
  23. Ha E, Choon-Kon-Yune I, Murray L, Luan S, Montague E, Bhattacharyya O, Agarwal P. Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis. JMIR Human Factors 2025;12:e71434 View
  24. Miller R, Kedgley A, Farnebo S, Stockmans F, Zlotolow D, Horwitz M. Round table discussion. Integration of artificial intelligence into daily practice. Journal of Hand Surgery (European Volume) 2025;50(8):1134 View
  25. Song J, Liu W, Wang Y, Hu X, Chen L, Wu X, Zheng C, Gu Q. Application and Challenges of Large Language Models in Clinical Nursing. CIN: Computers, Informatics, Nursing 2025;43(9) View
  26. Sasseville M, Yousefi F, Ouellet S, Naye F, Stefan T, Carnovale V, Bergeron F, Ling L, Gheorghiu B, Hagens S, Gareau-Lajoie S, LeBlanc A. The Impact of AI Scribes on Streamlining Clinical Documentation: A Systematic Review. Healthcare 2025;13(12):1447 View
  27. MacKenzie J, Coric C, Kim Y, Lee C, Grant-Kels J. Current applications of artificial intelligence in dermatology offices and potential ethical landmines. Clinics in Dermatology 2025;43(5):732 View
  28. Zhang Z, Scroggins J, Harkins S, Hulchafo I, Moen H, Tadiello M, Barcelona V, Topaz M. Toward equitable documentation: Evaluating ChatGPT’s role in identifying and rephrasing stigmatizing language in electronic health records. Nursing Outlook 2025;73(4):102472 View
  29. Sarraf B, Ghasempour A. Impact of artificial intelligence on electronic health record-related burnouts among healthcare professionals: systematic review. Frontiers in Public Health 2025;13 View
  30. Kharko A, Garcia Sanchez C, Hagström J, Gaab J, Locher C, McMillan B, Sundemo D, Blease C. General practitioners’ opinions of generative artificial intelligence in the UK: An online survey. DIGITAL HEALTH 2025;11 View
  31. Vasquez V, McCabe M, McKee J, Siby S, Hussain U, Faizuddin F, Sheikh A, Nguyen T, Mayer G, Grier J, Dhandayuthapani S, Gadad S, Chacon J. Transforming Cancer Care: A Narrative Review on Leveraging Artificial Intelligence to Advance Immunotherapy in Underserved Communities. Journal of Clinical Medicine 2025;14(15):5346 View
  32. Leung T, Coristine A, Benis A. AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration. JMIR Medical Informatics 2025;13:e80898 View
  33. Nofal H, Mohamed A, Almadani N, Mahfouz R, Bahri H, Ali H, Elrafey D. The impact of an artificial intelligence enhancement program on healthcare providers’ knowledge, attitudes, and workplace flourishing. Frontiers in Public Health 2025;13 View
  34. Woo B, Song J, Middleton E, Fijačko N, Cato K. Teaching Critical Thinking in the Age of AI: Safeguarding Clinical Reasoning in Healthcare Documentation. International Nursing Review 2025;72(3) View
  35. Gasque R, Zaietta N, Mollard L, Beltrame M, Virreira M, Quiñonez E, Mattera F. HPB SmartNotes: The impact of artificial intelligence on surgeon workload in the outpatient office. EngMedicine 2025;2(4):100101 View
  36. Suhail D, Wong Z, Ubhi J, Kungwengwe G, Faderani R, Mosahebi A. Current evidence and future directions of metrics used to evaluate ambient clinical documentation: A scoping review. International Journal of Medical Informatics 2026;205:106113 View
  37. Draper T, Leake J, Lamb-Riddell K, Cox T, McCormick J, Trowell S, Kiely J, Luxton R. Impact of acoustic and informational noise on AI-generated clinical summaries. BMJ Digital Health & AI 2025;1(1):e000057 View
  38. Toal M, Hill C, Quinn M, O'Neill C, Maxwell A. Large Language Models’ Clinical Decision-Making on When to Perform a Kidney Biopsy: Comparative Study. Journal of Medical Internet Research 2025;27:e73603 View
  39. Draper T, Cox T, Lamb-Riddell K, Moretti L, McCormick J, Trowell S, Kiely J, Luxton R. Clinical AI Scribes in primary care: accuracy, error severity and implications for clinical practice. BMJ Digital Health & AI 2025;1(1):e000092 View
  40. van Breugel M, Greenhawt M, Eguiluz-Gracia I, Torres Jaén M, Anagnostou A, Koppelman G. Artificial intelligence in allergy and immunology: Recent developments, implementation challenges, and the road toward clinical impact. Journal of Allergy and Clinical Immunology 2025 View
  41. Anderson T, Mohan V, Dorr D, Ratwani R, Biro J, Gold J. Evaluating the Quality and Safety of Ambient Digital Scribe Platforms Using Simulated Ambulatory Encounters. Mayo Clinic Proceedings: Digital Health 2025;3(4):100292 View
  42. Maas J, Franssen S, Petkovic M, Cardona Cano S, Dingemans A, van Oosterzee A, Slof‐Op ’t Landt M, Talavera Martinez E, Vreeswijk C, Simeunovic‐Ostojic M. Artificial Intelligence in Eating Disorder Treatment: A Qualitative Analysis of Clinical Opportunities, Barriers, and Ethical Considerations From Multi‐Disciplinary Focus Groups. International Journal of Eating Disorders 2025 View
  43. Rattananan W. Completeness and Quality of Neurology Referral Letters Generated by a Large Language Model for Standardized Scenarios. Medicina 2025;61(11):1931 View
  44. Chiang Y, Yang K, Su P, Tsai S, Liang K. Leveraging a Large Language Model for Streamlined Medical Record Generation: Implications for Health Care Informatics. Applied Clinical Informatics 2025;16(05):1493 View
  45. Iannone S, Kaur A, Johnson K. Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions. Journal of General Internal Medicine 2025 View
  46. Bains B, Rapuri S, Robitaille E, Wang J, Khera A, Gomez C, Reyes E, Perry C, Wilson J, Tracey E. Large Language Model-enabled Editing of Patient Audio Interviews from This is My Story (TIMS) Conversations: A Comparative Study (Preprint). JMIR Medical Informatics 2025 View
  47. Worragin P, Chernbumroong S, Puritat K, Julrode P, Intawong K. Towards Intelligent Virtual Clerks: AI-Driven Automation for Clinical Data Entry in Dialysis Care. Technologies 2025;13(11):530 View
  48. Arens S, Ngo Q, Richling A, Stürzbecher L, Böhringer D, Reinhard T, Heilmeyer F. Streamlining Ophthalmic Documentation With Anonymized, Fine-Tuned Language Models: Feasibility Study. Interactive Journal of Medical Research 2025;14:e72894 View

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  1. Niazai H, Monib W. Teaching in the Age of Medical Technology. View
  2. Suazo Galdames I, Chaple Gil A. International Conference on Information Systems and Medicine. Volume 1. View

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  1. . Implementation of Artificial Intelligence for Scribing in an Outpatient Mental Health Clinic. View