population-health-stratification

# 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. Monitor outcomes ### Risk Factors - Chronic conditions - Prior utilization - Medication complexity - Social needs - Care gaps ### Intervention Matching - High-risk: Intensive care management - Rising-risk: Targeted outreach - Low-risk: Wellness programs - Condition-specific: Disease management...