chronic-condition-cohorting
CommunitySegment patient populations by disease.
#risk stratification#healthcare analytics#population health#patient cohorting#chronic disease management#clinical registries
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 requiredComponents
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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