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

Consumer & Patient Education and Shared-Decision Making (876) Generative Language Models Including ChatGPT (743) Artificial Intelligence (2197) Applications of AI (300) Design and Evaluation of Patient Education Materials (121)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67143, first published .
What’s Going On With Me and How Can I Better Manage My Health? The Potential of GPT-4 to Transform Discharge Letters Into Patient-Centered Letters to Enhance Patient Safety: Prospective, Exploratory Study

What’s Going On With Me and How Can I Better Manage My Health? The Potential of GPT-4 to Transform Discharge Letters Into Patient-Centered Letters to Enhance Patient Safety: Prospective, Exploratory Study

What’s Going On With Me and How Can I Better Manage My Health? The Potential of GPT-4 to Transform Discharge Letters Into Patient-Centered Letters to Enhance Patient Safety: Prospective, Exploratory Study

Authors of this article:

Felix Eisinger1 Author Orcid Image ;   Friederike Holderried2 Author Orcid Image ;   Moritz Mahling3 Author Orcid Image ;   Christian Stegemann–Philipps2 Author Orcid Image ;   Anne Herrmann–Werner2 Author Orcid Image ;   Eric Nazarenus2 Author Orcid Image ;   Alessandra Sonanini2 Author Orcid Image ;   Martina Guthoff1 Author Orcid Image ;   Carsten Eickhoff4 Author Orcid Image ;   Martin Holderried3 Author Orcid Image
Article Authors Cited by (8) Tweetations Metrics

Journals

  1. 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
  2. Kimberger O, Rodemund N, Maleczek M. Einsatz von Large Language Models in der Anästhesie und Intensivmedizin. Anästhesie Nachrichten 2025;7(2):107 View
  3. Armstrong V, Grabeel K, Heidel R, McGillicuddy C, Zmijewski P, Murdock P, Lew J, Vaghaiwalla T. Patient Educational Materials for Pheochromocytoma Exceed Recommended Readability Level: An Analysis Across Three Independent Reading Instruments. Journal of Cancer Education 2025 View
  4. Breuer T, Frihat S, Fuhr N, Lewandowski D, Schaer P, Schenkel R. Large Language Models for Information Retrieval: Challenges and Chances. Datenbank-Spektrum 2025;25(2):71 View
  5. Li B, Huang Y, Mao W, Liu J, Ma Q. Applications and Prospects of Digital Health Technologies in Cardiovascular Nursing: Smart Devices, Remote Monitoring, and Personalized Care. Journal of Multidisciplinary Healthcare 2025;Volume 18:6275 View
  6. Holderried F, Sonanini A, Stegemann–Philipps C, Herrmann–Werner A, Spitzer P, Guthoff M, Heyne N, Sering K, Holderried M, Eisinger F. From Information to Understanding: Impact of GPT-4–Generated Discharge Letters on Patients’ Medical Comprehension - A Prospective, Crossover Study (Preprint). Journal of Medical Internet Research 2025 View
  7. Vavekanand R, Ali Laghari A, Kumar T. Applications and limitations of large language models to integrate medical context: a comprehensive review. Iran Journal of Computer Science 2026;9(1) View
  8. 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 View