What problem does it solve?
It resolves clinical drug terminology by mapping source drug concepts to the correct OMOP RxNorm Clinical Drug, avoiding incorrect matches caused by similar names with different strength or dose form.
Core Features & Use Cases
- Structured drug parsing: Extracts ingredient, strength, and dose form from concept labels and
info_json fields like categorical_data and numerical_data.
- Two mapping strategies: Uses OMOP relationship traversal (ingredient/ATC → Clinical Drug) and falls back to structured search (ingredient + strength + dose form) plus synonym lookup for trade names.
- Strict validation & safe outcomes: Enforces component equivalence rules and blocks unsafe mappings for incompatible dose forms, incorrect strengths, categories instead of specific drugs, and homeopathic/diluted products.
Quick Start
Use concept-mapping-drug to map a batch of OMOP Drug domain concepts to RxNorm Clinical Drug candidates from your loaded DuckDB session, then return only the approved mappings to the orchestrator.