BytesAgain βΊ Skills βΊ Bio Ontology Mapper
π¦ ClawHub
Bio Ontology Mapper
by @renhaosu2024
Map unstructured biomedical text to standardized ontologies (SNOMED CT, MeSH, ICD-10) for terminology normalization and semantic interoperability. Extracts m...
β‘ When to Use
| Trigger | Action |
|---|---|
| - Normalizing clinical notes for EHR integration | |
| - Standardizing terminology for multi-site studies | |
| - Mapping legacy data to modern ontologies | |
| - Preparing data for clinical data warehouses | |
| - Converting free-text to coded data for analysis | |
| - Building semantic search for biomedical literature | |
| - Teaching biomedical informatics principles | |
| **β Do NOT use when:** | |
| - Clinical diagnosis or decision support β Use clinical decision tools | |
| - Real-time patient care β Latency too high for acute settings | |
| - Replacing expert coding β Use for pre-coding, final review needed | |
| - Processing PHI without de-identification β Ensure HIPAA compliance | |
| **Integration:** | |
| - **Upstream**: `clinical-data-cleaner` (data preparation), `ehr-semantic-compressor` (text extraction) | |
| - **Downstream**: `clinical-data-cleaner` (SDTM mapping), `unstructured-medical-text-miner` (NLP pipelines) | |
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