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Knowledge graph

Entities, relationships, and the layered model behind Care-Intel.

Overview

The proprietary graph holds standardized healthcare entities (providers, organizations, diseases, drugs, clinical trials, and more) linked by typed relationships. Builds are deterministic pipeline jobs — not ad-hoc AI writes.

Layers

  • L1 — Foundation: external knowledge graphs used as read-only anchors.
  • L2 — Semantic bridge: UMLS / Biolink resolution authority.
  • L3 — Raw material: open healthcare datasets ingested via Spark.
  • Proprietary: fused graph in Memgraph used by products.

Identifiers

Nodes use stable kg_id values and, where available, canonical CURIE-style identifiers (for example NPI, MONDO, RxNorm). Prefer projecting explicit property columns in playground queries instead of returning whole nodes.

Example

MATCH (n:Provider)
RETURN n.kg_id AS kg_id, n.name AS name, n.npi AS npi
LIMIT 20
Totals and schema catalogs are also exposed via public catalog endpoints under /api/graph/s3/*. Interactive exploration belongs in the Playground.