Agent skill · Data & Analytics

population-health-stratification

Stratify patient populations by risk level using claims data, clinical data, and social determinants to prioritize care management interventions

a5c-ai1,642★ · 1 repos on radarProfile →
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill population-health-stratification --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Allowed tools: ReadGrepWriteEditGlobBashWebFetch
Path: library/specializations/domains/social-sciences-humanities/healthcare/skills/population-health-stratification/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Population Health Stratification Stratify patient populations by risk level using claims data, clinical data, and social determinants to prioritize care management interventions. ## Overview This skill enables risk stratification of patient populations for care management. It encompasses data analysis, risk modeling, segment identification, and intervention prioritization to target resources effectively. ## Capabilities ### Risk Assessment - Claims-based risk scores - Clinical risk factors - Utilization patterns - Social determinants - Predictive modeling ### Data Analysis - Multi-source integration - Pattern identification - Cohort analysis - Trend tracking - Outcome correlation ### Stratification Models - Rising risk identification - High-risk patient flagging - Condition-specific cohorts - Utilization tiers - Intervention matching ### Resource Targeting - Care management allocation - Intervention prioritization - Program matching - Outreach planning - Impact projection ## Usage Guidelines ### Stratification Process 1. Define population scope 2. Aggregate data sources 3. Apply risk algorithms 4. Validate stratification 5. Create patient segments 6. Match interventions 7. Monito

What's inside
Steps it walks through
  1. Overview
  2. Capabilities
  3. Risk Assessment
  4. Data Analysis
  5. Stratification Models
  6. Resource Targeting
  7. Usage Guidelines
  8. Stratification Process
  9. Risk Factors
  10. Intervention Matching
  11. Integration Points
  12. Related Processes
  13. Collaborating Skills
  14. References
More from babysitter
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About this skill
What does the population-health-stratification skill do?

Stratify patient populations by risk level using claims data, clinical data, and social determinants to prioritize care management interventions

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill population-health-stratification --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going