Azara Risk Stratification is a clinical analytics module that automatically identifies high-risk patients using diagnostic data, social determinants, and utilization patterns to enable targeted care management and value-based care success

Key Features

Risk Algorithm Automated patient risk categorization using clinical and social data

• Stratifies patients into low, moderate, and high-risk categories
• Uses diagnoses, disease severity, medications, social determinants of health, and utilization data
• Approximately two-thirds of DRVS users employ this methodology

Population Health Management Consistent identification of patients across health centers

• Supports NCQA PCMH requirements
• Enables comparison of risk distribution across organizations
• Identifies patients who could benefit from care coordination

Clinical Insights Integration Comprehensive data analysis capabilities

• Incorporates age, chronic conditions, behavioral health, infectious disease, and substance use data
• Includes social determinants of health (SDOH) and clinical outcome indicators
• Integrates with existing EHR and claims data

Benefits

Resource Optimization Efficient allocation of care management resources

• Matches available resources to patient needs
• Identifies costly and complex patients
• Reduces time spent on manual chart audits

Financial Performance Improved reimbursement and cost management

• Supports risk adjustment factor (RAF) gap identification
• Enables appropriate coding for complex patients
• Facilitates informed conversations with payers

Quality Improvement Enhanced clinical outcomes and program performance

• Enables targeted interventions for high-risk populations
• Supports quality measure optimization
• Monitors program success for high-risk populations