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Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation

Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation

We followed the study by Van Veen et al [35] in using the metrics for completeness and correctness, which, respectively, measured the extent to which important information was covered and how accurate the covered information was. Second, the structure of the summary should be assessed by examining all the headers to identify proper and improper headers as well as bullets, which contribute to secondary structuring.

Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, Fadi P Deek, Zhe He, Vipina K Keloth, Hao Liu, Gai Elhanan, Andrew J Einstein

JMIR Med Inform 2025;13:e66476