clinical-decision-support

Generate clinical decision support documents with GRADE evidence grading and cohort analysis.

3|Updated Apr 17, 2026

Search Tags:#clinical decision support #clinical research #treatment recommendation #patient cohort analysis #AI-generated figures

Ready to run

npx skills add https://github.com/RamanEbrahimi/raman-marketplace --skill clinical-decision-support-ramanebrahimi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clinical-decision-support
Source: https://github.com/RamanEbrahimi/raman-marketplace/tree/main/plugins/agentic-research/skills/scientific-skills/clinical-decision-support
Command: npx skills add https://github.com/RamanEbrahimi/raman-marketplace --skill clinical-decision-support-ramanebrahimi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scipy, lifelines, matplotlib, pyyaml, tikzlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill generates comprehensive clinical decision support (CDS) documents for pharmaceutical and clinical research settings, automating complex analytics and incorporating AI-generated figures for clarity and efficiency.

Core Features & Use Cases

Patient Cohort Analysis: Biomarker-stratified group analyses with statistical outcome comparisons.
Treatment Recommendation Reports: Evidence-based guidelines with decision algorithms and GRADE evidence grading.
AI-Generated Figures: Integrate scientific schematics to visualize complex concepts and algorithms.
Use Case: Generate a full clinical decision support document for a phase 3 clinical trial, including patient cohort analysis, treatment recommendations, and visualized biomarker stratification trees.

Quick Start

Use the clinical-decision-support skill to analyze the patient cohort data in 'trial_data.csv' and generate a treatment recommendation report for the corresponding drug.

Frequently Asked Questions about clinical-decision-support

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate clinical decision support documents with patient cohort analysis?▼

To generate clinical decision support documents, you can use this Skill to automate patient cohort analysis, stratify biomarker groups, and produce treatment recommendation reports with statistical outcome comparisons from your trial data.

What is GRADE evidence grading and how does it apply to treatment recommendations?▼

GRADE evidence grading is a systematic approach to evaluate the quality of evidence in treatment recommendations. This Skill integrates GRADE grading into clinical decision support documents to ensure evidence-based guidelines and decision algorithms.

Can I visualize biomarker stratification trees and clinical algorithms using Python?▼

Yes, you can visualize biomarker stratification trees and clinical algorithms using Python. This Skill incorporates AI-generated figures and scientific schematics, utilizing libraries like matplotlib to render complex clinical concepts.

Does the clinical decision support workflow require pandas and lifelines for survival analysis?▼

The clinical decision support workflow relies on dependencies like pandas for data manipulation and lifelines for survival analysis. These libraries enable statistical outcome comparisons and biomarker-stratified group analyses within the generated reports.

What is the best way to automate treatment recommendation reports for phase 3 clinical trials?▼

The best way to automate treatment recommendation reports for phase 3 clinical trials is to use this Skill, which processes patient cohort data, applies GRADE evidence grading, and generates visualized biomarker stratification trees automatically.