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

Consumer & Patient Education and Shared-Decision Making (940) Natural Language Processing (977) Safety and Error Prevention in Health (265) Generative Language Models Including ChatGPT (863) Cognition and Information Processing in Human Factors Research (33) Linguistics, Comprehension, and Learning (58)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81243, first published .
Impact of GPT-4–Generated Discharge Letters on Patients’ Medical Comprehension: Prospective Crossover Study

Impact of GPT-4–Generated Discharge Letters on Patients’ Medical Comprehension: Prospective Crossover Study

Impact of GPT-4–Generated Discharge Letters on Patients’ Medical Comprehension: Prospective Crossover Study

Authors of this article:

Friederike Holderried1 Author Orcid Image ;   Alessandra Sonanini1 Author Orcid Image ;   Christian Stegemann–Philipps1 Author Orcid Image ;   Anne Herrmann–Werner1 Author Orcid Image ;   Philipp Spitzer2 Author Orcid Image ;   Martina Guthoff3 Author Orcid Image ;   Nils Heyne4 Author Orcid Image ;   Konstantin Sering1 Author Orcid Image ;   Martin Holderried5 Author Orcid Image ;   Felix Eisinger4 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Reimers S. Generative AI in health sciences education and practice. Part 3: supporting written communication. British Journal of Cardiac Nursing 2026;21(4):1 View