patient-stratification-engine

Patient stratification categorizes individuals into risk tiers using clinical, utilization, and social determinant data. This Skill applies validated risk models to classify patients and recommend appropriate care management interventions.

Healthcare risk stratification requires comprehensive patient data including demographics, clinical profiles, utilization history, claims data, SDOH indicators, and functional status to accurately assign actionable risk tiers.

Patient risk stratification supports care management by building risk-stratified panels and prioritizing resources. It identifies patients for intervention programs and recommends team compositions based on their specific risk profiles.

Yes, population health analytics at hospital scale can use this Skill to identify patients most likely to benefit from new care management programs, ensuring resources are directed to those who need them most.

Identifying rising risk patients for early intervention is done by analyzing clinical, utilization, and SDOH data with validated risk models. This categorizes patients into tiers like Low, Rising, High, and Complex.

No, this risk assessment requires claims data alongside demographics, clinical profiles, utilization history, SDOH indicators, and functional status to comprehensively stratify patients into actionable risk tiers.