What problem does it solve?
This Skill resolves clinical entities extracted by OpenMed to UMLS Concept Unique Identifiers, enabling consistent concept normalization without bundling or caching license-restricted Metathesaurus data.
Core Features & Use Cases
- CUI Linking: Search the UMLS Metathesaurus through the user's UTS API key and map disease, drug, chemical, and anatomy mentions to candidate CUIs.
- Semantic-Type Filtering: Use UMLS semantic types to distinguish clinically relevant concepts and reduce ambiguous or incorrect matches.
- Cross-Vocabulary Mapping: Cross-walk CUIs to SNOMED CT, ICD-10-CM, RxNorm, MeSH, and other source vocabularies for downstream coding and interoperability.
- Traceable Clinical NLP: Preserve OpenMed entity labels, confidence scores, and source offsets while storing only permitted identifiers and codes.
- Use Case: Normalize mentions such as myocardial infarction, heart attack, and MI to one CUI, then retrieve corresponding codes for a clinical data integration workflow.
Quick Start
Use the linking-umls-concepts skill with your UTS_API_KEY to resolve OpenMed-extracted entities to CUIs, filter candidates by semantic type, and cross-walk the selected concepts to the target vocabulary.