Primary Care Providers Acceptance of Generative AI Responses to Patient Portal Messages.

Journal: Applied clinical informatics
Published Date: Mar 25, 2025

Abstract

BACKGROUND: Patient portals bridge patient and provider communications but exacerbate physician and nursing burnout. Large language models (LLMs) can generate message responses that are viewed favorably by healthcare professionals; however, these studies have not included diverse message types or new prompt-engineering strategies. Our goal is to investigate and compare the quality and precision GPT-generated message responses versus real doctor responses across the spectrum of message types within a patient portal.

Authors

  • Amarpreet Kaur
    Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, United States.
  • Alex Budko
    Computer and Information Sciences, University of Pennsylvania, Philadelphia, United States.
  • Katrina Liu
    Computer and Information Science, University of Pennsylvania, Philadelphia, United States.
  • Bryan D Steitz
    Biomedical Informatics, Vanderbilt University Medical Center, Nashville, United States.
  • Kevin B Johnson
    Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, United States.

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