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

Generative Language Models Including ChatGPT (708) Clinical Informatics (1325) Artificial Intelligence (2129) Chatbots and Conversational Agents (740)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60336, first published .
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

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 (12) 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 2025:bmjqs-2024-018384 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

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