StanfordMIMI/clin-bhc-summ
[JAMIA 2024] A dataset and benchmark for hospital course summarization with adapted large language models
This project helps medical professionals like clinicians, nurses, and medical students quickly grasp a patient's entire hospital stay. It takes detailed clinical notes and generates a concise summary of the patient's hospital course, highlighting key events and treatments. The primary users are healthcare practitioners who need to efficiently review patient histories.
No commits in the last 6 months.
Use this if you need to quickly generate summaries of extensive patient clinical notes to understand a hospital stay.
Not ideal if you require real-time, instantaneous summaries directly integrated into live clinical systems, as this is a research benchmark.
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10
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 24, 2025
Commits (30d)
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