OpenClaw-Medical-Skills clinical-note-summarization

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name: clinical-note-summarization description: Structure raw clinical notes into SOAP-format summaries with explicit contradictions, missing data, and ICD-linked assessments using the provided prompt + usage script. allowed-tools:

• read_file
• run_shell_command

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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 optional

  patient_context

  metadata.

• output_format

  (

  markdown

  default,

  json

  when downstream validators need schema).

Outputs

1. Structured SOAP summary with Subjective/Objective/Assessment/Plan bulleting.
2. Alerts plus missing-information checklist.
3. Optional JSON payload using schema from README.

Workflow

1. Load system prompt:

   prompt.md

   enforces no hallucinations + data gap surfacing.
2. Normalize input: Pre-clean vitals, labs, and timeline context when available.
3. Generate summary: Call preferred LLM (OpenAI, Anthropic, Gemini, OSS) using

   usage.py

   as a template.
4. Validate: Cross-check extracted values vs. source text and ensure contradictions/missing data are spelled out.
5. 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

  , and

  usage.py

  .

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