A medical knowledge graph becomes valuable through three layers working together: the entities that represent medical concepts, the relationships that connect them, and the metadata that makes every connection trustworthy.
Each domain carries its own attributes — codes, thresholds, design parameters — but the value comes from how they connect to each other.
A seventh domain — HCP Concepts (line of therapy, progression, adverse event management) — captures the clinical reasoning context the other six domains feed into.
Entities alone are a dictionary. Relationships are what turn that dictionary into a reasoning system.
Every node and relationship should include source, confidence score, date, version, and approval status — without this layer, a graph can be connected and still be unreliable.
This is the layer that separates a graph an MLR team can stand behind from a graph that just looks impressive in a demo.