clinical-decision-support

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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.

AI & Automation 2,489 stars 183 forks Updated 5 days ago Apache-2.0

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Quality Score: 96/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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...

Details

Author
foryourhealth111-pixel
Repository
foryourhealth111-pixel/Vibe-Skills
Created
5 months ago
Last Updated
5 days ago
Language
Python
License
Apache-2.0

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DevOps & Infrastructure Listed

clinical-decision-support

When the user wants to design, build, deploy, or evaluate a clinical decision support (CDS) tool. Also use when the user mentions "CDS," "CDS Hooks," "patient-view hook," "order-sign hook," "order-select hook," "encounter-start," "appointment-book," "CDS card," "alert fatigue," "interruptive alert," "5 rights of CDS," "order set," "clinical pathway," "CQL," "Clinical Quality Language," "BPA," "best practice advisory," "HHS CDS exemption," "Cures Act CDS criteria," or "FDA SaMD CDS." For SMART app OAuth, see smart-on-fhir. For order entry plumbing, see cpoe-orders. For SaMD regulatory pathway, see fda-samd.

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