SynDocDis: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models

SynDocDis is a novel framework that utilizes Large Language Models and de-identified case metadata to generate clinically accurate synthetic physician-to-physician dialogues. This approach addresses the scarcity of real discussion data due to privacy concerns, aiming to enrich AI agents with valuable clinical knowledge.