Entity Standardization

One identity graph, not duplicate nodes

Healthcare data arrives with dozens of vocabularies — NPI, ICD-10, SNOMED, RxNorm, UMLS CUIs, trial NCT IDs, and facility identifiers. Without standardization, the same clinical concept appears as multiple disconnected records, breaking analytics, GraphRAG, and subgraph products.

Care-Intel applies a non-destructive canonical bridge: source codes map to UMLS CUIs and Biolink-aligned graph labels so downstream products share one governed identity layer.

What we standardize

• Providers & facilities — NPI-centric keys linked to locations, taxonomies, and network relationships.
• Conditions & phenotypes — ICD, SNOMED, and UMLS spine alignment for disease and symptom nodes.
• Drugs & devices — RxNorm, NDC, and product identifiers for formulary and safety analytics.
• Trials & publications — NCT IDs, PMIDs, and structured eligibility tied to standardized concepts.

Why it matters for buyers

Entity standardization is the foundation for trustworthy subgraph exports, multi-hop GraphRAG, and cross-dataset joins in your warehouse. Every edge in the knowledge graph resolves to auditable source codes — not opaque string matches.

See standardization in a demo