Can it handle complex statistical data?

Yes, the skill is capable of incorporating and interpreting statistical data including hazard ratios, p-values, 95% confidence intervals, and Kaplan-Meier survival analysis.

Does the skill support regulatory compliance standards?

Yes, it includes features for HIPAA de-identification of data, confidentiality headers, and alignment with ICH-GCP reporting standards for pharmaceutical research.

How are the clinical flowcharts and diagrams created?

The skill includes a mandatory integration with the 'scientific-schematics' tool to automatically generate AI-powered, publication-quality clinical decision algorithms and treatment pathways.

What document formats does this skill produce?

The skill generates publication-ready LaTeX code which can be compiled into high-quality PDF documents, featuring professional academic formatting, color-coded recommendation boxes, and compact margins.

Is this skill intended for direct bedside patient care?

No, this skill is specifically designed for pharmaceutical research, drug development, and population-level clinical guidelines. For individual patient treatment plans, the 'treatment-plans' skill should be used instead.

Clinical Decision Support | Claude Code Skill for Pharma

This skill empowers Claude to function as a specialized clinical research analyst by creating sophisticated Clinical Decision Support (CDS) documents in professional LaTeX/PDF formats. It is specifically engineered for pharmaceutical drug development, medical affairs, and regulatory submissions, allowing for the synthesis of complex trial data into actionable insights. The skill specializes in biomarker-stratified cohort analyses, evidence-based treatment recommendations using the GRADE framework, and the integration of critical statistical metrics such as hazard ratios and survival curves. By combining rigorous medical nomenclature with mandatory visual schematics, it provides a comprehensive solution for population-level clinical strategy and evidence synthesis.

Key Features

01Automated clinical decision algorithms and treatment sequencing flowcharts

023,719 GitHub stars

03Statistical visualization support for waterfall plots, forest plots, and survival curves

04Evidence-based treatment guidelines with GRADE (1A-2C) strength and quality grading

05Publication-ready LaTeX output optimized for regulatory compliance and ICH-GCP alignment

06Biomarker-stratified cohort analysis with statistical outcome comparisons (OS, PFS, ORR)

Use Cases

01Creating clinical practice guidelines and treatment algorithms for medical societies

02Generating real-world evidence (RWE) cohort studies and comparative effectiveness reports

03Developing Phase 2/3 trial subgroup analyses for IND/NDA regulatory documentation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills clinical-decision-support

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Automated clinical decision algorithms and treatment sequencing flowcharts

023,719 GitHub stars

03Statistical visualization support for waterfall plots, forest plots, and survival curves

04Evidence-based treatment guidelines with GRADE (1A-2C) strength and quality grading

05Publication-ready LaTeX output optimized for regulatory compliance and ICH-GCP alignment

06Biomarker-stratified cohort analysis with statistical outcome comparisons (OS, PFS, ORR)

Use Cases

01Creating clinical practice guidelines and treatment algorithms for medical societies

02Generating real-world evidence (RWE) cohort studies and comparative effectiveness reports

03Developing Phase 2/3 trial subgroup analyses for IND/NDA regulatory documentation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills clinical-decision-support

For use in Claude.ai and ChatGPT

Download Skill

Clinical Decision Support Documenter

Clinical Decision Support Documenter

Key Features

Use Cases

Key Features

Use Cases