Article

A Comparative Investigation of Zero-shot Prompting and Fine-tuning for Clinical Note Summarization

2026-03-13

Abstract excerpt

<title>Abstract</title> <p>Background This study aims to use large language models (LLMs) to develop and evaluate techniques for automated discharge summary generation, with the long term goal of reducing clinician documentation burden, improving workflow efficiency, and enhancing the accuracy and completeness of patient records. Methods We used structured and unstructured inputs from MIMIC-IV—including chief com...

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Literature Corpus work: 1562d6c6-cb30-54c3-b2d0-f51a5313ea0c
DOI: 10.21203/rs.3.rs-9008079/v1

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