Optimize Population Health Outcomes With
HEX Predictive Data Analytics Insights
Empower Data
Driven Decision
HEX predictive analytics platforms harnesses the power of the Medicare HCC model to identify patients with high-risk conditions. This allows healthcare providers, particularly Accountable Care Organizations (ACOs), to proactively manage these patients, reducing costs and improving overall population health. By analyzing disease trends and comorbidities, ACOs can target interventions and optimize care strategies, ultimately maximizing their potential for shared savings.
Capabilities
Optimize Care Management
With Predictive Analytics
Disease identification and stratification
Disease registries
Incidence and prevalence trends for disease conditions and comorbidities
Risk scores and future expenditure forecast
Our Predictive
Analytics Models
Leverage the power of advanced prediction with HEX. Our technology utilizes the medicare HCC model to identify patients with 83 high-risk conditions, including chronic diseases and those with significant costs like cancer and diabetes. This advanced risk stratification goes beyond just individual conditions. We also identify how these conditions interact with each other, giving you a more comprehensive view of your patient population. These insights are then presented in clear dashboards and reports, allowing you to prioritize interventions, target care management programs, and ultimately improve population health outcomes. For medicare ACOs, this translates to a powerful benefit the ability to forecast shared savings potential with greater accuracy.
