Does it support standardized evidence grading?

Yes, it supports the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) system to classify the quality of evidence and strength of recommendations.

Is this skill intended for individual patient treatment plans?

No, this skill is specifically designed for population-level pharmaceutical research, cohort analysis, and clinical guideline development. For individual patient care, use the treatment-plans skill.

What document formats does this skill produce?

The skill generates publication-ready LaTeX and PDF documents, optimized for pharmaceutical research, regulatory submissions, and medical journals.

Can it visualize statistical data and clinical pathways?

Yes, it integrates with scientific-schematics to generate AI-powered clinical decision algorithms, treatment pathway flowcharts, and biomarker stratification trees.

Clinical Decision Support

Name: Clinical Decision Support
Author: Yezez9

byYezez9

0•

Ciencia de Datos y ML

Generates publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.

This skill empowers clinical researchers and pharmaceutical teams to automate the creation of high-quality, evidence-based documents including patient cohort analyses and treatment recommendation reports. It integrates advanced statistical modeling, GRADE evidence grading, and biomarker stratification to produce professional LaTeX-formatted PDFs suitable for regulatory submissions, medical journals, and guideline development. By bridging the gap between raw clinical data and actionable insights, it facilitates data-driven decision-making in drug development and medical strategy through standardized reporting and visual decision algorithms.

Características Principales

01Biomarker-stratified patient cohort analysis and outcome reporting

02Integration of clinical metrics including Hazard Ratios and Kaplan-Meier curves

03Evidence-based treatment recommendations with GRADE grading system

04Publication-ready LaTeX and PDF document generation with statistical summaries

050 GitHub stars

06Automated generation of clinical decision flowcharts and treatment algorithms

Casos de Uso

01Developing Phase 2/3 clinical trial subgroup analyses for regulatory submissions

02Generating real-world evidence (RWE) cohort studies from EMR and biomarker data

03Creating evidence-based clinical practice guidelines for medical societies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent clinical-decision-support

For use in Claude.ai and ChatGPT

Características Principales

01Biomarker-stratified patient cohort analysis and outcome reporting

02Integration of clinical metrics including Hazard Ratios and Kaplan-Meier curves

03Evidence-based treatment recommendations with GRADE grading system

04Publication-ready LaTeX and PDF document generation with statistical summaries

050 GitHub stars

06Automated generation of clinical decision flowcharts and treatment algorithms

Casos de Uso

01Developing Phase 2/3 clinical trial subgroup analyses for regulatory submissions

02Generating real-world evidence (RWE) cohort studies from EMR and biomarker data

03Creating evidence-based clinical practice guidelines for medical societies