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

Patient Education in Cardiology (45) Generative Language Models Including ChatGPT (708) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Cardiac Self-Management (146) Design and Evaluation of Patient Education Materials (117) mHealth for Patient Education (292) Heart Failure Self-Management (179)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68817, first published .
Improving the Readability of Institutional Heart Failure–Related Patient Education Materials Using GPT-4: Observational Study

Improving the Readability of Institutional Heart Failure–Related Patient Education Materials Using GPT-4: Observational Study

Improving the Readability of Institutional Heart Failure–Related Patient Education Materials Using GPT-4: Observational Study

Authors of this article:

Ryan C King1 Author Orcid Image ;   Jamil S Samaan2 Author Orcid Image ;   Joseph Haquang1 Author Orcid Image ;   Vishnu Bharani1 Author Orcid Image ;   Samuel Margolis3 Author Orcid Image ;   Nitin Srinivasan4 Author Orcid Image ;   Yuxin Peng5 Author Orcid Image ;   Yee Hui Yeo2 Author Orcid Image ;   Roxana Ghashghaei1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Maywald L, Nguyen L, Winterstein J, Hetz M, Mangold M, Renner L, Brinker T, Wessels F, Carl N. Readability of Chatbot Responses in Prostate Cancer and Urological Care: Objective Metrics Versus Patient Perceptions. Current Oncology 2025;32(10):582 View
  2. Doyle R, Hartnett J, Temperley H, Murray C, Walsh R, Walsh J, McCormick J, McGorrian C, Murphy K, McDonald K. ChatGPT Applications in Heart Failure: Patient Education, Readability Enhancement, and Clinical Utility. Journal of Cardiovascular Development and Disease 2025;12(11):422 View