AI RESEARCH
SynDocDis: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models
arXiv CS.CL
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ArXi:2604.08555v1 Announce Type: new Physician-physician discussions of patient cases represent a rich source of clinical knowledge and reasoning that could feed AI agents to enrich and even participate in subsequent interactions. However, privacy regulations and ethical considerations severely restrict access to such data. While synthetic data generation using Large Language Models offers a promising alternative, existing approaches primarily focus on patient-physician interactions or structured medical records, leaving a significant gap in physician-to-physician communication synthesis.