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Generative Language Models Including ChatGPT (1503) Clinical Informatics (2253) Chatbots and Conversational Agents (1169) Artificial Intelligence (4744)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60336, first published .
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Patient-Representing Population's Perceptions of GPT-Generated Versus Standard Emergency Department Discharge Instructions: Randomized Blind Survey Assessment

Patient-Representing Population's Perceptions of GPT-Generated Versus Standard Emergency Department Discharge Instructions: Randomized Blind Survey Assessment

Authors of this article:

Thomas Huang1, 2 Author Orcid Image ;   Conrad Safranek1, 2 Author Orcid Image ;   Vimig Socrates2, 3 Author Orcid Image ;   David Chartash2, 4 Author Orcid Image ;   Donald Wright1, 2 Author Orcid Image ;   Monisha Dilip1 Author Orcid Image ;   Rohit B Sangal1 Author Orcid Image ;   Richard Andrew Taylor1, 2 Author Orcid Image
Article Authors Cited by (29) Tweetations Metrics

Journals

  1. Haga S. Artificial intelligence, medications, pharmacogenomics, and ethics. Pharmacogenomics 2024;25(14-15):611 View
  2. Gorski J, Rudloff J, Ramgopal S. Parental, Patient, and Provider Perspectives on the Use of Artificial Intelligence in Pediatric Care. Academic Pediatrics 2025;25(6):102819 View
  3. Meyer N, Meyer J. A Practical Guide to the Utilization of ChatGPT in the Emergency Department: A Systematic Review of Current Applications, Future Directions, and Limitations. Cureus 2025 View
  4. Machucho R, Ortiz D. The Impacts of Artificial Intelligence on Business Innovation: A Comprehensive Review of Applications, Organizational Challenges, and Ethical Considerations. Systems 2025;13(4):264 View
  5. Shahnam A, Nindra U, Hitchen N, Tang J, Hong M, Hong J, Au-Yeung G, Chua W, Ng W, Hopkins A, Sorich M. Application of Generative Artificial Intelligence for Physician and Patient Oncology Letters—AI-OncLetters. JCO Clinical Cancer Informatics 2025;(9) View
  6. AlGhaithi M, Alkalbani A, AlMusharrafi S, Al-harthi S, Zribi A, Alhasni N, Majed M, Al Hatrushi M, Al mashari A, Al-Harrasi A, AlFarai A, Almahrouqi S, Mohamed T, AlYafai E, AlSaidi S, Al Faliti B, AlMadhoun E, AlHashar A, AlKasbi J, Al-Awaisi H, Ayaad O, Ibrahim R, Al-Baimani K. Optimizing Early Discharge Planning in Oncology: Improving Health Service using Lean Six Sigma Methodologies. The Open Public Health Journal 2025;18(1) View
  7. Peng W, Cheng X, Deng J, Zhang X. ChatGPT Applications in Nursing: Current Status and Future Perspectives. Nursing Open 2025;12(6) View
  8. Kong M, Fernandez A, Bains J, Milisavljevic A, Brooks K, Shanmugam A, Avilez L, Li J, Honcharov V, Yang A, Khoong E. Evaluation of the accuracy and safety of machine translation of patient-specific discharge instructions: a comparative analysis. BMJ Quality & Safety 2026;35(3):150 View
  9. Song J, Park J, Kim J, You S. Large Language Model Assistant for Emergency Department Discharge Documentation. JAMA Network Open 2025;8(10):e2538427 View
  10. Larenas-Linnemann D, Martínez-Larenas M, Iñigo-Padilla J, Bousquet J, Sousa-Pinto B, Luna-Pech J. Updates on Artificial Intelligence-Assisted Allergic Rhinitis and its Impact on Asthma Care Pathways. Immunology and Allergy Clinics of North America 2026;46(1):161 View
  11. Watson A, Bond C, Aveyard H, Smith G, Jackson D. Generative AI at the Bedside: An Integrative Review of Applications and Implications in Clinical Nursing Practice. Journal of Clinical Nursing 2025 View
  12. Monaci M, Romão M, Bigi S, Barello S. After-visit and discharge summaries: a scoping review of stakeholder perspectives and experiences. BMC Health Services Research 2025;26(1) View
  13. Wang M, Ma H, Piao M. Effectiveness of large language models in preoperative and discharge education: a systematic review based on an evaluation framework. npj Digital Medicine 2026;9(1) View
  14. Panczyk M, Piątek T, Małkowski P, Hreńczuk M, Jaworski M, Cieślak I, Gotlib-Małkowska J. Effect of Emotional Prompt on the Quality of ChatGPT Based Discharge Instructions After Laparoscopic Cholecystectomy Using ERAS Derived Benchmarks. Journal of Multidisciplinary Healthcare 2026;Volume 19:1 View
  15. Han G, Choi H, Son Y. Advantages and challenges for utilization of generative artificial intelligence in clinical nursing practice: an integrative review. BMC Nursing 2026;25(1) View
  16. Hernández P, Rodriguez G, Fischetti C, Baugh C, Baymon D, Ellis J, Sarma D, Marshall A. Evaluating the Performance of Large Language Models for Generating Emergency Department Discharge Instructions. The Journal of Emergency Medicine 2026;85:45 View
  17. Maryati I, Ermiati E, Natasya W, Hasanah A, Irmala N, Susanti S, Atikah A, Yulianti D, Abdullah K. From Hospital to Home: Enhancing Family Support with MIGYN (Mitra Interaktif Ginekologi), an AI-Based Discharge Planning Chatbot. Journal of Multidisciplinary Healthcare 2026;Volume 19:1 View
  18. Alon L, Shoval D, Levkovich I. Bias, representation, and clinical fidelity in AI-generated images for medical education: a systematic literature review. npj Digital Medicine 2026;9(1) View
  19. Reaver C, Siddabattula R, Pereira D. Natural Language Processing Improves Postoperative Discharge Instructions. Arthroscopy 2026 View
  20. Pelizzari N, Savardi M, Arrigoni L, Gregori M, Conti A, Tedesco M, Tratta E, Ceretti E, Covolo L, Visconti M, Adamo M, Roccaro A, Vizzardi E, Signoroni A, Alberici F, Lombardi C, Gelatti U. Artificial Intelligence–Mediated Discharge Document for Accessible Health Care (AIM-HEALTH): Protocol for a Prospective, Observational, Noninterventional Study. JMIR Research Protocols 2026;15:e95782 View
  21. Wood N, O’Sullivan D, Tunitsky-Bitton E. Chatbot Use by Patients Seeking Urogynecologic Consultation: A Randomized Trial. Urogynecology 2026 View
  22. Rehman T, Jarrett P, Lesko J, Augustine J, Shy B, Sangal R, Genes N, Apakama D, Abbott E, Mehrotra A, Taylor R. An Evidence-Based Framework for Patient-Facing Artificial Intelligence Integration in the Emergency Department. JACEP Open 2026;7(5):100466 View
  23. Pirouz K, Shapovalov V, K Tran Q, Gorup S, Hussain A, Pourmand A. Artificial intelligence in the emergency department-- applications, perceptions and limitations: a narrative review. World Journal of Emergency Medicine 2026;17(4):301 View
  24. Byun H, Lee D, Jung M, Jang B. Multi-Axial Analysis of Clinical Reasoning in Large Language Models: Inter-Verifier Disagreement and Its Implications for Automated Evaluation. Journal of Medical Systems 2026;50(1) View
  25. Michihata N, Ishii H, Tsujimura H, Takano N, Nomura T, Takeuchi Y, Kagawa S, Asai S, Kita E, Komaru A, Suito H, Koga K, Miura Y, Washio A, Hippo Y. Generating Patient Documents from Electronic Health Records Using Generative Artificial Intelligence: A Feasibility Study in a Japanese Cancer Center. Applied Clinical Informatics 2026;17(03):652 View
  26. Kwolek K, Laskowska W, Pilarek M, Ożga S, Roszkowska M, Furtak M, Janczarski S, Sarna D, Wąs Ł, Tryczyński P. GENERATIVE ARTIFICIAL INTELLIGENCE AND LARGE LANGUAGE MODELS IN EMERGENCY MEDICINE: A NARRATIVE REVIEW. International Journal of Innovative Technologies in Social Science 2026;1(3(51)) View
  27. Zaretsky J, Kim C, Major V, Verplanke B, Sonne C, Small W, Solanki P, Fenelon L, Tursunova N, Gutjahr A, Zhao Y, Blecker S, Austrian J, Testa P, Feldman J. Randomized Controlled Trial Comparing AI-Generated, Clinician-Edited to Human-Generated After-Visit Summaries. Mayo Clinic Proceedings: Digital Health 2026:100395 View
  28. Lee M, Cho S, Yu J, Yoon J, Choi J, Jung K, Cho J. Finite State Machine–Guided Retrieval-Augmented Generation Improves Expert-Rated Acceptability of a Peripherally Inserted Central Catheter Self-Management Chatbot: Single-Center Content Validation Study. Journal of Medical Internet Research 2026;28:e92374 View

Conference Proceedings

  1. Elbattah M, Arnaud E, Ghazali D, Dequen G. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Exploring the Ethical Challenges of Large Language Models in Emergency Medicine: A Comparative International Review View