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CPGPrompt: translating clinical guidelines into large language model-executable decision support
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AI
DOI：10.1093/jamia/ocag026.png)
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Abstract
En 中文
Clinical practice guidelines (CPGs) provide evidence-based recommendations for patient care; however, integrating them into artificial intelligence (AI) remains challenging. Previous approaches, such as rule-based systems or black-box AI models, face significant limitations, including poor interpretability, inconsistent adherence to guidelines, and narrow domain applicability. To address this, we develop and validate CPGPrompt, an auto-prompting system that converts narrative clinical guidelines into large language models (LLMs).
Keywords:
Clinical Practice Guidelines
Large Language Models
Decision Support
Auto-prompting
Artificial Intelligence
Journal
IF:
4.6
Papers:
417
Citations:
1.6W
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