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.

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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
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article

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

Leonard Fehring, Paul Rust, Sven Meister, Julian Frings
8 citations
Communications Medicine
Patient-Provider Communication in Healthcare
22.52
article

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

Leonard Fehring, Paul Rust, Sven Meister, Julian Frings
article en
8 citations

Abstract

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.

Communications MedicineVol. 5(1)
Witten/Herdecke University (DE), Helios Universitätsklinikum Wuppertal (DE), Fraunhofer Institute for Software and Systems Engineering (DE)
Quality Education
Openalex Percentile: Top 0%
Patient-Provider Communication in Healthcare
22.52
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