How does the skill handle evidence-based grading?

It utilizes the GRADE system (1A, 1B, 2A, 2B, 2C) to classify the strength of recommendations and quality of evidence, along with Oxford CEBM levels where appropriate.

Does it include statistical visualizations like survival curves?

Yes, it integrates with the scientific-schematics tool to automatically generate clinical decision algorithms, treatment pathways, survival curve visualizations, and biomarker stratification trees.

What document formats does the clinical-decision-support skill support?

The skill generates publication-ready LaTeX source code and PDF documents optimized for pharmaceutical research, regulatory submissions, and clinical guideline development.

Can this skill be used for individual patient care at the bedside?

No, this skill is designed for group-level pharmaceutical research and evidence synthesis. For individual patient treatment plans, the 'treatment-plans' skill should be used instead.

Clinical Decision Support Writer

Name: Clinical Decision Support Writer
Author: K-Dense-AI

byK-Dense-AI

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235

データサイエンスとML

Generates publication-ready clinical decision support documents and pharmaceutical research reports with evidence-based analysis and automated data visualization.

概要

This skill enables Claude to produce sophisticated, LaTeX-formatted documents for the pharmaceutical and clinical research sectors. It specializes in biomarker-stratified patient cohort analyses and treatment recommendation reports using the GRADE evidence system. By integrating statistical analysis, molecular subtype classification, and mandatory scientific schematics, it provides a comprehensive toolset for developing clinical guidelines, regulatory submissions, and medical strategy documents that meet professional publication standards.

主な機能

Biomarker-stratified cohort analysis with statistical outcome comparisons
Automated generation of clinical decision algorithms and flowcharts
Regulatory-compliant reporting including HIPAA de-identification and ICH-GCP
Evidence-based treatment recommendations using the GRADE grading system
235 GitHub stars
Publication-ready LaTeX/PDF formatting with specialized medical templates

ユースケース

Developing evidence-based clinical practice guidelines for medical societies
Synthesizing real-world evidence (RWE) into comparative effectiveness reports
Preparing Phase 2/3 clinical trial subgroup analyses and regulatory submissions

概要

主な機能

Biomarker-stratified cohort analysis with statistical outcome comparisons
Automated generation of clinical decision algorithms and flowcharts
Regulatory-compliant reporting including HIPAA de-identification and ICH-GCP
Evidence-based treatment recommendations using the GRADE grading system
235 GitHub stars
Publication-ready LaTeX/PDF formatting with specialized medical templates

ユースケース

Developing evidence-based clinical practice guidelines for medical societies
Synthesizing real-world evidence (RWE) into comparative effectiveness reports
Preparing Phase 2/3 clinical trial subgroup analyses and regulatory submissions