Individual skill
clinical-notes-nlp
NLP on clinical text — de-identification, concept extraction, phenotyping from notes, and LLM safety guardrails.
skills/clinical-notes-nlp/SKILL.md
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## Overview
clinical-notes-nlp covers natural language processing of clinical documentation: discharge
summaries, progress notes, radiology reports, nursing notes. It spans de-identification,
medical concept extraction (UMLS/cTAKES/MedCAT), note-based phenotyping, and the special
caution required when applying large language models to clinical text — where hallucinations
can become chart entries.
Clinical notes are the richest and messiest EHR data: telegraphic, abbreviation-dense,
copy-pasted, and full of implicit context. Standard NLP pipelines underperform until adapted.
## When to use
- De-identifying clinical text for research (HIPAA Safe Harbor, surrogate replacement).