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

Ryan C King   1 , MD ;   Jamil S Samaan   2 , MD ;   Joseph Haquang   1 , DO ;   Vishnu Bharani   1 , MD ;   Samuel Margolis   3 , BS ;   Nitin Srinivasan   4 , BA ;   Yuxin Peng   5 , BS ;   Yee Hui Yeo   2 , MD, MSc ;   Roxana Ghashghaei   1 , MD

1 Department of Medicine, Division of Cardiology, University of California, Irvine Medical Center, Orange, CA, United States

2 Department of Medicine, Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA, United States

3 David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

4 Keck School of Medicine, University of Southern California, Los Angeles, CA, United States

5 School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China

Corresponding Author:

  • Ryan C King, MD
  • Department of Medicine
  • Division of Cardiology, University of California, Irvine Medical Center
  • 101 The City Dr S
  • Orange, CA 92868
  • United States
  • Phone: 1 714-456-7890
  • Email: ryan.king2517@gmail.com