Evaluating insomnia queries from an artificial intelligence chatbot for patient education.

Journal: Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Published Date: Apr 1, 2024

Abstract

STUDY OBJECTIVES: We evaluated the accuracy of ChatGPT in addressing insomnia-related queries for patient education and assessed ChatGPT's ability to provide varied responses based on differing prompting scenarios.

Authors

  • Rahul Alapati
    Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.
  • Daniel Campbell
    Department of Otolaryngology, Thomas Jefferson University Hospitals, Philadelphia, Pennsylvania.
  • Nicole Molin
    Department of Otolaryngology, Thomas Jefferson University Hospitals, Philadelphia, Pennsylvania.
  • Erin Creighton
    Department of Otolaryngology, Thomas Jefferson University Hospitals, Philadelphia, Pennsylvania.
  • Zhikui Wei
    Department of Neurology, Jefferson Sleep Disorders Center, Thomas Jefferson University Hospitals, Philadelphia, Pennsylvania.
  • Maurits Boon
    Department of Otolaryngology, Thomas Jefferson University Hospitals, Philadelphia, Pennsylvania.
  • Colin Huntley
    Department of Otolaryngology, Thomas Jefferson University Hospitals, Philadelphia, Pennsylvania.

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