domains / families / documents / clinical-reports

clinical-reports

combined

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools. Creates safety-bounded draft structures and runs local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.

When to use

• Writing clinical case reports for journal submission (CARE guidelines)
• Creating diagnostic reports (radiology, pathology, laboratory)
• Documenting clinical trial data and adverse events
• Preparing clinical study reports (CSR) for regulatory submission
• Writing patient progress notes, SOAP notes, and clinical summaries
• Drafting discharge summaries, H&P documents, or consultation notes
• Ensuring HIPAA compliance and proper de-identification
• Validating clinical documentation for completeness and accuracy

When not to use

• Do not use for writing research manuscripts (Introduction, Methods, Results sections — use a scientific writing skill).
• Do not use for statistical analysis of clinical data (use a statistical modeling skill).
• Do not use for IRB protocol writing (use a protocol design skill).
• Do not use when patient data has not been de-identified and no consent is documented.

Skill page

Conflict

The K-Dense-AI copy is a safety-bounded, structure-only procedure that explicitly forbids clinical interpretation, diagnosis, and treatment recommendations, and requires a source-fact manifest and qualified review. The other three copies (Vibe-Skills, medical-research-skills, OpenClaw-Medical-Skills) are nearly identical to each other and describe a comprehensive writing skill that includes patient documentation (SOAP, H&P), mandatory AI-generated schematics, and detailed content templates for clinical findings and interventions. These two approaches are fundamentally different: one is a strict guardrail for drafting structures from verified facts, while the other is a generative writing guide for full clinical documents. Crowning one would hide the other's distinct approach to clinical documentation.