Ontology highlight
ABSTRACT: Background
For hospitalized patients, the discharge letter serves as a crucial source of medical information, outlining important discharge instructions and health management tasks. However, these letters are often written in professional jargon, making them difficult for patients with limited medical knowledge to understand. Large language models, such as GPT, have the potential to transform these discharge summaries into patient-friendly letters, improving accessibility and understanding.Objective
This study aims to use GPT-4 to convert discharge letters into more readable patient-centered letters. We evaluated how effectively and comprehensively GPT-4 identified and transferred patient safety-relevant information from the discharge letters to the transformed patient lett
SUBMITTER: Eisinger F
PROVIDER: S-EPMC11795158 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature