Improving readability of shoulder and elbow surgery online patient education material with Chat GPT (Chat Generative Pretrained Transformer) 4.

Journal: Journal of shoulder and elbow surgery
Published Date:

Abstract

BACKGROUND: Health literacy is crucial for effective doctor-patient communication, particularly for surgical patients who need to comprehend complex procedures and care protocols. The American Medical Association and National Institutes of Health suggest patient education materials be at a sixth-grade to eighth-grade reading level. Despite this, many online materials for orthopedic surgeries, including shoulder and elbow procedures, are written above this level. Chat Generative Pretrained Transformer (ChatGPT) 4, an artificial intelligence language model, may help simplify these materials and improve readability given poor health literacy in patient populations.

Authors

  • Krishna Chandra
    Department of Orthopaedic Surgery, Baylor College of Medicine, Houston, TX, USA. Electronic address: Krishna.Chandra@BCM.edu.
  • Umar Ghilzai
    Department of Orthopaedic Surgery, Baylor College of Medicine, Houston, TX, USA.
  • Jad Lawand
    Department of Orthopaedics, University of Texas Medical Branch School of Medicine, Galveston, TX, USA.
  • Abdullah Ghali
    Department of Orthopaedic Surgery, Baylor College of Medicine, Houston, TX, USA.
  • Benjamin Fiedler
    Department of Orthopaedic Surgery, Baylor College of Medicine, Houston, TX, USA.
  • Adil S Ahmed
    Department of Orthopaedic Surgery, Baylor College of Medicine, Houston, TX, USA.

Keywords

No keywords available for this article.