Clinical Decision Support

About

This skill enables Claude to produce high-fidelity, evidence-based clinical decision support (CDS) documents tailored for pharmaceutical companies, researchers, and medical societies. It specializes in complex patient cohort analysis featuring statistical outcomes like survival curves and hazard ratios, alongside treatment recommendation reports utilizing the GRADE evidence grading system. By integrating biomarker data and generating automated visual decision algorithms via LaTeX, it streamlines the creation of regulatory submissions, clinical guidelines, and drug development documentation.

Key Features

• 2,188 GitHub stars
• Visual clinical decision algorithms and biomarker stratification trees via schematics
• Biomarker-stratified patient cohort analysis with statistical outcome comparisons
• Integration of complex metrics including OS, PFS, hazard ratios, and waterfall plots
• Evidence-based treatment guidelines using the standardized GRADE grading system
• Automated generation of publication-ready LaTeX and PDF medical documents

Use Cases

• Real-world evidence (RWE) synthesis and comparative effectiveness studies using EMR data
• Development of evidence-based treatment algorithms for medical societies and journals
• Phase 2/3 clinical trial subgroup analysis and regulatory IND/NDA documentation