The scenario
A longitudinal heart disease study needs to record patient demographics, follow-up visits, clinical measurements, diagnoses, medications, risk factors, and cardiac events over time.
What is in this drawing
Read the decisions behind it.
01
Modeled Patient as central entity with one-to-many relationships to longitudinal records
02
Used composite VisitProvider table to link visits with providers
03
Separated clinical measurements, diagnoses, medications, risk factors, and outcomes as distinct fact tables
Appropriate for building a research database that tracks patient-level clinical data across multiple time points.
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