chronic-condition-cohorting

Community

Segment patient populations by disease.

Authorwassemgtk
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill addresses the challenge of organizing complex patient data to identify and segment individuals with specific chronic conditions for targeted care management and analysis.

Core Features & Use Cases

  • Patient Segmentation: Groups patients into clinically meaningful cohorts based on diagnoses, labs, and utilization.
  • Severity Stratification: Assigns patients to different levels of disease severity (e.g., controlled, moderate, uncontrolled).
  • Use Case: A healthcare provider can use this skill to identify all diabetic patients within their network, stratify them by their HbA1c levels and presence of complications, and flag those at high risk for kidney disease for proactive intervention.

Quick Start

Use the chronic-condition-cohorting skill to build a cohort of all diabetic patients from the provided claims and enrollment data.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: chronic-condition-cohorting
Download link: https://github.com/wassemgtk/skills-testing/archive/main.zip#chronic-condition-cohorting

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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