KREL: Automatic Medical Coding via Knowledge-Guided Reasoning over Clinical Evidence with LLMs
This episode discusses the KREL paper, which introduces a system for automatic medical coding using Large Language Models. By utilizing a three-stage process—Query Extractor, Candidate Selector, and Code Verifier—the system transforms unstructured clinical notes into standardized codes by grounding its reasoning in official medical rules and patient evidence.