Clinical note summarization
Skill bg-szy/TOP-SKILLS/skills/awesome-skills/clinical-note-summarization
全球最大的 Claude Code 技能聚合库 · 收录 3900+ 来自 12+ 来源的技能，提供在线搜索与趋势分析看板 / The world's largest Claude Code skill aggregation hub — 3900+ skills from 12+ sources with online search and trend dashboard
npx -y skills add bg-szy/TOP-SKILLS --skill clinical-note-summarizationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
Copied from the file, not written here
Structure raw clinical notes into SOAP-format summaries with explicit contradictions, missing data, and ICD-linked assessments using the provided prompt + usage script.
SKILL.md
2.1 KB, as published. Nobody here has run it
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At-a-Glance
- description (10-20 chars): SOAP builder
- keywords: clinical-notes, SOAP, guardrails, ICD10, gaps
- measurable_outcome: Produce SOAP markdown + JSON (when requested) covering all four sections with ≥95% note coverage and explicit missing info in ≤2 minutes per note.
Inputs
note_text(dictation, OCR, or EHR export) and optionalpatient_contextmetadata.output_format(markdowndefault,jsonwhen downstream validators need schema).
Outputs
- Structured SOAP summary with Subjective/Objective/Assessment/Plan bulleting.
- Alerts plus missing-information checklist.
- Optional JSON payload using schema from README.
Workflow
- Load system prompt:
prompt.mdenforces no hallucinations + data gap surfacing. - Normalize input: Pre-clean vitals, labs, and timeline context when available.
- Generate summary: Call preferred LLM (OpenAI, Anthropic, Gemini, OSS) using
usage.pyas a template. - Validate: Cross-check extracted values vs. source text and ensure contradictions/missing data are spelled out.
- Deliver output: Provide markdown + JSON as required and log PHI handling steps.
Guardrails
- Never invent findings; state "not provided" explicitly.
- Mark outputs as documentation support only—not clinical decisions.
- Strip/re-mask PHI before storing prompts/responses.
References
- For detailed schema, guardrails, and integration snippets see
README.md,prompt.md, andusage.py.