Clinical Decision Support

Generates publication-ready clinical decision support documents for pharmaceutical research and drug development. You get two main outputs: patient cohort analyses with biomarker stratification and statistical comparisons (hazard ratios, survival curves, waterfall plots), and treatment recommendation reports with GRADE evidence grading and decision algorithms. Everything comes out as LaTeX/PDF optimized for regulatory submissions and clinical guidelines. The skill mandates including AI-generated schematics for decision flowcharts and patient flow diagrams. This is explicitly not for individual patient care at bedside, that's what the treatment-plans skill handles. Use this when you need group-level evidence synthesis for trials, medical affairs, or guideline development.

skills.sh installs: 384
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill clinical-decision-support --agent claude-code

Installs into .claude/skills of the current project.

Files

Clinical Decision Support Documents

Description

Generate professional clinical decision support (CDS) documents for pharmaceutical companies, clinical researchers, and medical decision-makers. This skill specializes in analytical, evidence-based documents that inform treatment strategies and drug development:

Patient Cohort Analysis - Biomarker-stratified group analyses with statistical outcome comparisons
Treatment Recommendation Reports - Evidence-based clinical guidelines with GRADE grading and decision algorithms

All documents are generated as publication-ready LaTeX/PDF files optimized for pharmaceutical research, regulatory submissions, and clinical guideline development.

Note: For individual patient treatment plans at the bedside, use the treatment-plans skill instead. This skill focuses on group-level analyses and evidence synthesis for pharmaceutical/research settings.