Making clinical guidelines work for large language models

Example of a clinical decision support system integrated with large language models. Credit: npj Digital Medicine (2024). DOI: 10.1038/s41746-024-01091-y 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 Read More