Clinical Decision Support

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Specializing in the creation of high-quality clinical decision support (CDS) documents, this skill enables researchers and pharmaceutical professionals to produce biomarker-stratified patient cohort analyses and evidence-based treatment recommendations. It integrates rigorous statistical methods, GRADE evidence grading, and mandatory visual algorithms into publication-ready LaTeX/PDF formats. Designed for pharmaceutical research and regulatory contexts, it provides a structured framework for synthesizing complex clinical data into actionable strategies, ensuring compliance with HIPAA and ICH-GCP standards while maintaining a professional, data-dense presentation.

Características Principales

• Biomarker-stratified patient cohort analysis with statistical outcome metrics
• Integrated statistical visualizations including survival curves, waterfall plots, and forest plots
• Evidence-based treatment recommendations with GRADE grading system implementation
• Mandatory scientific schematic generation for treatment algorithms and decision pathways
• Automated generation of publication-ready LaTeX documents and PDF reports
• 197 GitHub stars

Casos de Uso

• Creating biomarker-stratified efficacy and safety reports for pharmaceutical regulatory submissions
• Developing evidence-based clinical practice guidelines and treatment algorithms for medical societies
• Synthesizing real-world evidence and trial data into comprehensive medical affairs strategy documents