clinical-note-extract-skill
Extract structured data from clinical notes with span-level provenance and null-safety. Use when users say "extract [variables] from this note", "abstract this chart", "pull structured data from these notes", "what does this note say about [field]", or when building a chart-abstraction, registry, or cohort dataset from Published by anthropics in healthcare.
What is clinical-note-extract-skill?
Extract structured data from clinical notes with span-level provenance and null-safety. Use when users say "extract [variables] from this note", "abstract this chart", "pull structured data from these notes", "what does this note say about [field]", or when building a chart-abstraction, registry, or cohort dataset from Published by anthropics in healthcare. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use clinical-note-extract-skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/healthcare
- Skill file: plugins/healthcare/skills/clinical-note-extract/SKILL.md
What it does
Extract structured data from clinical notes with span-level provenance and null-safety. Use when users say "extract [variables] from this note", "abstract this chart", "pull structured data from these notes", "what does this note say about [field]", or when building a chart-abstraction, registry, or cohort dataset from
Skill instructions
Clinical Note Extraction Structured extraction from clinical notes against a user-defined schema, with span citations for every value and explicit nulls for every absence. One note or many — the path is the same: an isolated no-tools worker extracts each note, then a deterministic validation pass verifies spans and codes. This is the extraction primitive that care-gap reasoning, adverse-event detection, trial-eligibility screening, prior-auth evidence assembly, and registry abstraction sit on. Steps 1 Define schema — references/01-define-schema.md 2 Extract — workflows/extract-batch.js (one isolated worker per note) 3 Validate — span check + run each field's check 4 Report — references/03-review.md Step 1 — Define schema Read references/01-define-schema.md. Turn the user's request into a schema: each field is {desc, finding?, check?}. desc says what to look for in the note's own terms; finding: true means classify assertion; check is how step 3 validates (open-ended — {kind: "terminolo
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Frequently asked questions
What is clinical-note-extract-skill?
clinical-note-extract-skill is a open-source AI agent skill with Copy skill directory. Extract structured data from clinical notes with span-level provenance and null-safety.
Who is clinical-note-extract-skill best for?
clinical-note-extract-skill is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install clinical-note-extract-skill?
Install or run clinical-note-extract-skill using Copy skill directory. Check clinical-note-extract-skill for the latest setup command.
Is clinical-note-extract-skill actively maintained?
clinical-note-extract-skill may need a closer maintenance check before production use.
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