Stratifying Populations by Clinical and Risk Signals
Effective population health management requires segmenting patients based on multiple dimensions:
- Clinical complexity: Number and severity of chronic conditions
- Risk scores: RAF or other predictive risk scores
- Utilization patterns: ED visits, hospitalizations, and care intensity
- Social determinants: Factors affecting health outcomes and access
- Care gaps: Preventive care and chronic condition management needs
Identifying High-Risk and Rising-Risk Patients
Risk stratification identifies patients across the risk spectrum:
High-Risk Patients
Complex patients requiring intensive care management and coordination.
Rising-Risk Patients
Patients showing early signs of deterioration who may respond to intervention.
Moderate-Risk Patients
Patients with chronic conditions requiring ongoing monitoring and support.
Low-Risk Patients
Generally healthy patients benefiting from preventive care engagement.
Prioritizing Outreach and Interventions
Resource constraints require strategic prioritization:
- Intervention matching: Align programs to patient needs and risk levels
- ROI optimization: Focus on patients where intervention impact is highest
- Capacity planning: Scale programs based on population distribution
- Program evaluation: Measure effectiveness by risk tier
Three downloads risk adjustment teams actually use
Checklists, playbooks, and frameworks — built for analysts, auditors, and VPs working RAF, RADV, and HCC.
2026 RADV Audit Readiness Checklist
12-point compliance checklist for documentation, diagnosis code validation, extrapolation defense, and pre-audit scrub workflows.
RAF Score Optimization Playbook
Tactical guide for analysts: HCC recapture workflows, V28 transition impacts, prospective gap-closure plays, and KPIs that move RAF lift.
Risk Adjustment Analytics Playbook
How payer leaders sequence prospective and retrospective risk adjustment for compounding RAF lift. Deployment patterns, KPIs, and a VP-level operating rhythm.
Measuring Movement Across Risk Tiers
Tracking how patients move between risk tiers indicates program effectiveness:
- Positive movement: High-risk patients stabilizing to moderate risk
- Prevention success: Rising-risk patients avoiding escalation
- Health maintenance: Low-risk patients remaining healthy
- Intervention gaps: Patients escalating despite programs
Connecting Stratification to RAF Impact
Risk stratification directly supports RAF optimization:
Population Health Risk Assessment
Comprehensive population health risk assessment for stratification and management.
Provider Workflows
Clinical provider workflows that leverage risk stratification insights.
RAF Score
Understanding how stratification connects to RAF score calculation.
Risk Adjustment Analytics
Comprehensive risk adjustment analytics platform.