Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models
The episode discusses a paper that uses Large Language Models to automatically convert unstructured clinical guidelines from NICE into executable computational models. Hosts discuss the two-stage framework of data-to-knowledge and knowledge-to-performance, focusing on how this process builds structured logic for automated decision support tools.