Azara's Value-Based Care Reporting solution provides a scalable technology platform designed to enhance patient outcomes by delivering timely, actionable clinical insights. It facilitates collaboration between healthcare organizations, health plans, and other value-based care enablers. The platform enables organizations to work closely with health plans on initiatives such as preventive care engagement, clinical quality improvement, risk adjustment factor capture, and performance enhancement. By equipping providers with up-to-date information and streamlining risk gap closure and supplemental data sharing, Azara fosters a collaborative environment for monitoring, tracking, and improving quality, cost, and utilization outcomes across the entire patient population.

The solution seamlessly integrates health-plan provided data, including rosters and claims from multiple plans, directly into existing workflows. This unified dataset supports member-focused programs aimed at optimizing quality measures, closing risk and care gaps, and precisely identifying and targeting high-risk patients through risk stratification, all within the Azara DRVS platform. Azara DRVS is further supported by an experienced Clinical Transformation team and a comprehensive library of over 600 measures, including certified HEDIS measures, CMS eCQM measures for MSSP, MCP, & PCF programs, and other clinical quality measures covering all health plan members.

Organizations leverage Azara solutions to engage with health plans and members, enabling providers to unify member insights by aggregating and standardizing supplemental data from health plans. This provides care teams with a comprehensive understanding of patients' conditions and risk factors. The platform significantly reduces wasted time and effort by automating care gap reconciliation, matching payer-calculated gaps against EHR data to reveal their true status and focus resources effectively. It offers real-time risk stratification to continuously identify and address potential member health issues and leverages expanded clinical insights, including social determinants of health (SDOH) and demographics, to optimize HEDIS measure performance and facilitate risk recapture. Furthermore, it provides granular insights into cost and utilization drivers across the network, enabling targeted interventions at the network, practice, and provider levels.

Azara DRVS offers a highly configurable and feature-rich platform for navigating value-based care complexities, including intuitive dashboards for at-a-glance performance insights and drill-down analysis, innovative dynamic cohorts to identify members needing specific services and align them to relevant programs, and data activation to equip health plan teams with actionable insights and deliver plan data to providers at the point of care. This real-time access significantly boosts risk recapture and care gap closure rates. Azara's deep analytics provide a granular view of performance at multiple levels, enabling data-driven decisions for continuous improvement. Azara Healthcare has achieved Certified Data Stream status for NCQA’s Data Aggregator Validation Program, promoting trust in aggregated clinical data and supporting value-based contracting by making core features more workable and easing the quality measurement load.

Features & Benefits

• Actionable Clinical Insights: Delivers timely, actionable clinical insights to care teams to facilitate collaboration and improve patient outcomes.
• Payer Integration & Data Aggregation: Seamlessly integrates health-plan provided data, such as rosters and claims, within existing workflows for a unified dataset.
• Care Gap Reconciliation & Risk Stratification: Automates care gap reconciliation and provides real-time risk stratification to identify and address potential member health issues.
• Comprehensive Measure Library: Includes over 600 measures, featuring certified HEDIS, CMS eCQM measures, and other clinical quality measures.
• NCQA Data Aggregator Validation: Achieved Certified Data Stream status, promoting trust in aggregated clinical data and easing quality measurement load for HEDIS reporting.