Assessing artificial intelligence-generated patient discharge information for the emergency department: a pilot study.

Journal: International journal of emergency medicine
Published Date: Apr 25, 2025

Abstract

BACKGROUND: Effective patient discharge information (PDI) in emergency departments (EDs) is vital and often more crucial than the diagnosis itself. Patients who are well informed at discharge tend to be more satisfied and experience better health outcomes. The combination of written and verbal instructions tends to improve patient recall. However, creating written discharge materials is both time-consuming and costly. With the emergence of generative artificial intelligence (AI) and large language models (LMMs), there is potential for the efficient production of patient discharge documents. This study aimed to investigate several predefined key performance indicators (KPIs) of AI-generated patient discharge information.

Authors

  • Ruben De Rouck
    AZ Sint Maria Halle, Ziekenhuislaan 100, Halle, 1500, Belgium. ruben.de.rouck@vub.be.
  • Evy Wille
    Department of Intensive Care Medicine, UZ Brussel, Laarbeeklaan 101, Brussels, 1090, Belgium.
  • Allison Gilbert
    Chair of AI and Digital Medicine, University of Mons, Place du Parc 20, Mons, 7000, Belgium.
  • Nick Vermeersch
    AZ Sint Maria Halle, Ziekenhuislaan 100, Halle, 1500, Belgium.

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