/clinical-decision-support
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms).
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill clinical-decision-support --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/clinical-decision-support
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The summary Claude sees to decide when to auto-load this skill.
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms).
SKILL.md
clinical-decision-support.SKILL.mdname: clinical-decision-support
description: "Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis."
allowed-tools: [Read, Write, Edit, Bash]
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:
1. **Patient Cohort Analysis** - Biomarker-stratified group analyses with statistical outcome comparisons 2. **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.
Capabilities
Document Types
**Patient Cohort Analysis**
- Biomarker-based patient stratification (molecular subtypes, gene expression, IHC)
- Molecular subtype classification (e.g., GBM mesenchymal-immune-active vs proneural, breast cancer subtypes)
- Outcome metrics with statistical analysis (OS, PFS, ORR, DOR, DCR)
- Statistical comparisons between subgroups (hazard ratios, p-values, 95% CI)
- Survival analysis with Kaplan-Meier curves and log-rank tests
- Efficacy tables and waterfall plots
- Comparative effectiveness analyses
- Pharmaceutical cohort reporting (trial subgroups, real-world evidence)
**Treatment Recommendation Reports**
- Evidence-based treatment guidelines for specific disease states
- Strength of recommendation grading (GRADE system: 1A, 1B, 2A, 2B, 2C)
- Quality of evidence assessment (high, moderate, low, very low)
- Treatment algorithm flowcharts with TikZ diagrams
- Line-of-therapy sequencing based on biomarkers
- Decision pathways with clinical and molecular criteria
- Pharmaceutical strategy documents
- Clinical guideline development for medical societies
Clinical Features
- **Biomarker Integration**: Genomic alterations (mutations, CNV, fusions), gene expression signatures, IHC markers, PD-L1 scoring
- **Statistical Analysis**: Hazard ratios, p-values, confidence intervals, survival curves, Cox regression, log-rank tests
- **Evidence Grading**: GRADE system (1A/1B/2A/2B/2C), Oxford CEBM levels, quality of evidence assessment
- **Clinical Terminology**: SNOMED-CT, LOINC, proper medical nomenclature, trial nomenclature
- **Regulatory Compliance**: HIPAA de-identification, confidentiality headers, ICH-GCP alignment
- **Professional Formatting**: Compact 0.5in margins, color-coded recommendations, publication-ready, suitable for regulatory submissions
Pharmaceutical and Research Use Cases
This skill is specifically designed for pharmaceutical and clinical research applications:
**Drug Development**
- **Phase 2/3 Trial Analyses**: Biomarker-stratified efficacy and safety analyses
- **Subgroup Analyses**: Forest plots showing treatment effects across patient subgroups
- **Companion Diagnostic Development**: Linking biomarkers to drug response
- **Regulatory Submissions**: IND/NDA documentation with evidence summaries
**Medical Affairs**
- **KOL Education Materials**: Evidence-based treatment algorithms for thought leaders
- **Medical Strategy Documents**: Competitive landscape and positioning strategies
- **Advisory Board Materials**: Cohort analyses and treatment recommendation frameworks
- **Publication Planning**: Manuscript-ready analyses for peer-reviewed journals
**Clinical Guidelines**
- **Guideline Development**: Evidence synthesis with GRADE methodology for specialty societies
- **Consensus Recommendations**: Multi-stakeholder treatment algorithm development
- **Practice Standards**: Biomarker-based treatment selection criteria
- **Quality Measures**: Evidence-based performance metrics
**Real-World Evidence**
- **RWE Cohort Studies**: Retrospective analyses of patient cohorts from EMR data
- **Comparative Effectiveness**: Head-to-head treatment comparisons in real-world settings
- **Outcomes Research**: Long-term survival and safety in clinical practice
- **Health Economics**: Cost-effectiveness analyses by biomarker subgroup
When to Use
Use this skill when you need to:
- **Analyze patient cohorts** stratified by biomarkers, molecular subtypes, or clinical characteristics
- **Generate treatment recommendation reports** with evidence grading for clinical guidelines or pharmaceutical strategies
- **Compare outcomes** between patient subgroups with statistical analysis (survival, response rates, hazard ratios)
- **Produce pharmaceutical research documents** for drug development, clinical trials, or regulatory submissions
- **Develop clinical practice guidelines** with GRADE evidence grading and decision algorithms
- **Document biomarker-guided therapy selection** at the population level (not individual patients)
- **Synthesize evidence** from multiple trials or real-world data sources
- **Create clinical decision algorithms** with flowcharts for treatment sequencing
**Do NOT use this skill for:**
- Individual patient treatment plans (use `treatment-plans` skill)
- Bedside clinical care documentation (use `treatment-plans` skill)
- Simple patient-specific treatment protocols (use `treatment-p
Read more
name: clinical-decision-support description: "Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis." allowed-tools: [Read, Write, Edit, Bash]
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:
1. **Patient Cohort Analysis** - Biomarker-stratified group analyses with statistical outcome comparisons 2. **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.
Capabilities
Document Types
**Patient Cohort Analysis**
- Biomarker-based patient stratification (molecular subtypes, gene expression, IHC)
- Molecular subtype classification (e.g., GBM mesenchymal-immune-active vs proneural, breast cancer subtypes)
- Outcome metrics with statistical analysis (OS, PFS, ORR, DOR, DCR)
- Statistical comparisons between subgroups (hazard ratios, p-values, 95% CI)
- Survival analysis with Kaplan-Meier curves and log-rank tests
- Efficacy tables and waterfall plots
- Comparative effectiveness analyses
- Pharmaceutical cohort reporting (trial subgroups, real-world evidence)
**Treatment Recommendation Reports**
- Evidence-based treatment guidelines for specific disease states
- Strength of recommendation grading (GRADE system: 1A, 1B, 2A, 2B, 2C)
- Quality of evidence assessment (high, moderate, low, very low)
- Treatment algorithm flowcharts with TikZ diagrams
- Line-of-therapy sequencing based on biomarkers
- Decision pathways with clinical and molecular criteria
- Pharmaceutical strategy documents
- Clinical guideline development for medical societies
Clinical Features
- **Biomarker Integration**: Genomic alterations (mutations, CNV, fusions), gene expression signatures, IHC markers, PD-L1 scoring
- **Statistical Analysis**: Hazard ratios, p-values, confidence intervals, survival curves, Cox regression, log-rank tests
- **Evidence Grading**: GRADE system (1A/1B/2A/2B/2C), Oxford CEBM levels, quality of evidence assessment
- **Clinical Terminology**: SNOMED-CT, LOINC, proper medical nomenclature, trial nomenclature
- **Regulatory Compliance**: HIPAA de-identification, confidentiality headers, ICH-GCP alignment
- **Professional Formatting**: Compact 0.5in margins, color-coded recommendations, publication-ready, suitable for regulatory submissions
Pharmaceutical and Research Use Cases
This skill is specifically designed for pharmaceutical and clinical research applications:
**Drug Development**
- **Phase 2/3 Trial Analyses**: Biomarker-stratified efficacy and safety analyses
- **Subgroup Analyses**: Forest plots showing treatment effects across patient subgroups
- **Companion Diagnostic Development**: Linking biomarkers to drug response
- **Regulatory Submissions**: IND/NDA documentation with evidence summaries
**Medical Affairs**
- **KOL Education Materials**: Evidence-based treatment algorithms for thought leaders
- **Medical Strategy Documents**: Competitive landscape and positioning strategies
- **Advisory Board Materials**: Cohort analyses and treatment recommendation frameworks
- **Publication Planning**: Manuscript-ready analyses for peer-reviewed journals
**Clinical Guidelines**
- **Guideline Development**: Evidence synthesis with GRADE methodology for specialty societies
- **Consensus Recommendations**: Multi-stakeholder treatment algorithm development
- **Practice Standards**: Biomarker-based treatment selection criteria
- **Quality Measures**: Evidence-based performance metrics
**Real-World Evidence**
- **RWE Cohort Studies**: Retrospective analyses of patient cohorts from EMR data
- **Comparative Effectiveness**: Head-to-head treatment comparisons in real-world settings
- **Outcomes Research**: Long-term survival and safety in clinical practice
- **Health Economics**: Cost-effectiveness analyses by biomarker subgroup
When to Use
Use this skill when you need to:
- **Analyze patient cohorts** stratified by biomarkers, molecular subtypes, or clinical characteristics
- **Generate treatment recommendation reports** with evidence grading for clinical guidelines or pharmaceutical strategies
- **Compare outcomes** between patient subgroups with statistical analysis (survival, response rates, hazard ratios)
- **Produce pharmaceutical research documents** for drug development, clinical trials, or regulatory submissions
- **Develop clinical practice guidelines** with GRADE evidence grading and decision algorithms
- **Document biomarker-guided therapy selection** at the population level (not individual patients)
- **Synthesize evidence** from multiple trials or real-world data sources
- **Create clinical decision algorithms** with flowcharts for treatment sequencing
**Do NOT use this skill for:**
- Individual patient treatment plans (use `treatment-plans` skill)
- Bedside clinical care documentation (use `treatment-plans` skill)
- Simple patient-specific treatment protocols (use `treatment-p
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Repo: foryourhealth111-pixel/Vibe-Skills
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