Learning What Matters in FHIR Graph Generation for Synthetic Patient Trajectories
We study the generation of synthetic longitudinal patient records as FHIR graphs, representing each patient as a sequence of encounters connected to diagnoses and procedures. Faithful generation requires jointly modeling the temporal structure and node content under extreme long-tail distributions of clinical event cod...