Making clinical guidelines work for large language models

Medical Xpress July 19, 2024
Rachel Martin, Yale University

Clinical guidelines are essential to the practice of evidence-based medicine, but they are long and complex, which makes it hard for busy doctors to quickly and easily find the information they need to care for each patient.

Faculty members across Yale’s Department of Internal Medicine are researching different approaches to make clinical guidelines more accessible to clinicians by incorporating them into existing tools and workflows. Tools that rely on large language models (LLMs) to generate responses to clinical questions are promising in their easy usability and ability to respond to physician queries.

“While we were developing an LLM tool to help clinicians answer questions about hepatology and gastrointestinal conditions, we realized that LLM companies often automatically convert clinical guidelines from...

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