Evaluation of a large language model to simplify discharge summaries and provide cardiological lifestyle recommendations.

Journal: Communications medicine
Published Date: May 29, 2025

Abstract

BACKGROUND: Hospital discharge summaries are essential for the continuity of care. However, medical jargon, abbreviations, and technical language often make them too complex for patients to understand, and they frequently omit lifestyle recommendations important for self-management. This study explored using a large language model (LLM) to enhance discharge summary readability and augment it with lifestyle recommendations.

Authors

  • Paul Rust
    Faculty of Health, School of Medicine, Witten/Herdecke University, Alfred-Herrhausen-Strasse 50, 58455, Witten, Germany.
  • Julian Frings
    Faculty of Health, School of Medicine, Witten/Herdecke University, Alfred-Herrhausen-Strasse 50, 58455, Witten, Germany.
  • Sven Meister
    Health Care Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Pferdebachstrasse 11, 58455, Witten, Germany.
  • Leonard Fehring
    Faculty of Health, School of Medicine, Witten/Herdecke University, Alfred-Herrhausen-Strasse 50, 58455, Witten, Germany. Leonard.Fehring@uni-wh.de.

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