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clinical-nlp-extractor
Maintainer FreedomIntelligence · Last updated April 1, 2026
Extract clinical entities (diagnoses, medications, procedures) from unstructured text.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/clinical-nlp-extractor
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- The Clinical NLP Skill converts free-text clinical notes into structured data. It identifies key medical entities like problems/diagnoses, medications, and procedures.
- When analyzing unstructured EHR notes.
- To populate a patient's problem list or medication reconciliation.
- To de-identify text (phi-removal) - Basic version.
- When analyzing unstructured EHR notes. To populate a patient's problem list or medication reconciliation. To de-identify text (phi-removal) - Basic version*.
Source Doc
Excerpt From SKILL.md
Core Capabilities
- NER (Named Entity Recognition): Extracts Problems, Drugs, Procedures.
- Negation Detection: (Basic) Checks if a finding is denied ("No fever").
- Structuring: Returns JSON format compatible with FHIR/USDL.
Workflow
- Input: A string of clinical text or a text file.
- Process: Tokenizes and matches against patterns/dictionaries.
- Output: JSON list of entities with spans and types.
Example Usage
User: "Extract entities from this note."
Agent Action:
Use cases
- Use clinical-nlp-extractor for clinical, translational, or medical research tasks.
- Apply clinical-nlp-extractor when healthcare-specific guidance is required.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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