Evaluation of a large language model to simplify discharge summaries and provide cardiological lifestyle recommendations
LLM-generated summaries achieve a 10th-grade readability level and high-quality ratings. While LLM-generated lifestyle recommendations are generally of high quality, personalization is limited. These findings suggest that LLMs could help create more patient-centric discharge summaries. Further research is needed to confirm clinical utility and address quality assurance, regulatory compliance, and clinical integration challenges.
Authors
- Leonard Fehring (ORCID: https://orcid.org/0000-0002-3322-3724)
- Paul Rust
- Sven Meister (ORCID: https://orcid.org/0000-0003-0522-986X)
- Julian Frings
Institutions
- Witten/Herdecke University (DE)
- Helios Universitätsklinikum Wuppertal (DE)
- Fraunhofer Institute for Software and Systems Engineering (DE)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1038/s43856-025-00927-2
- Citations
- 8
- Primary Topic
- Patient-Provider Communication in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 22.52