RISK Stratification

To assess, identify, stratify and manage risk to drive healthy patient, outcomes needs insight into their individual health status, disease burden, past history, etc.. This helps care givers take a proactive approach to drive positive outcomes.

DMZCUBE’s Analytical Engine provides:

  • Predictive Models that can identify patients that are most likely to experience clinical events that drive costs.
  • Diagnostic Models for Care Providers to make early interventions leading to improved clinical outcomes and to avoid unnecessary care costs.

Thus, having a better understanding of the Population Health, addresses issues at its onset, thereby enhancing the overall health and wellness of the targeted population.



As Health Networks are moving from – “Services Rendered” (Fee-for-Service Models) to “Get paid for Patient outcomes” (Fee-for-Value Models), Integration, Aggregation and Analysis of data are paramount to gather insight.

Profiling population health attributes to evaluate value instead of volume helps care providers reach out to the individuals to become active in their care plan, providing information about their health behaviors, habits and issues. This information is analyzed to provide individual baseline and risk stratification. Once this information is aligned with “Value-Based” payment incentives, the higher cost of care services is minimized.

DMZCUBE utilizes vistaBI Analytical Engine to:

  • Identify Gaps in Care
  • Provide individual baseline via Quality Reporting and Performance metrics
  • Align Information with “Value-Based” payment incentives to minimize cost
  • Improve desired outcomes within value-based framework


With the advancement in technology and increased access to health data, whether it is claims data, medical records or patient supplied information; predictive analytics can segment individuals prior to service and address a number of issues before they turn into problem.

DMZCUBE’s Analytical Engine provides right time analytics to:

  • Avoid unnecessary treatment, readmissions and ER visits thereby mitigating incurring cost
  • Help setting up internal benchmarks to measure cost and quality performance
  • Negotiate Better Payor Contracts
  • Create business agility to quickly make strategic decisions to improve clinical quality and reduce cost

So, predicting risk for disease and response to treatment utilizing effective treatment approaches will come with lower costs, improved outcomes and better patient experience.



Population Health Members cannot be effectively identified and managed when their health data is disconnected and non-shareable across payers, providers and patients.

The volume of the data produced, the variety of the formats in which the data comes in, the veracity in the quality and abnormality of the data and the velocity at which the data is produced creates a perfect storm that needs technologies that DMZCUBE utilizes to handle such complexity and derive actionable insights.

DMZCUBE builds a consolidated depository that produces single version of the truth, sharable across various functional care groups to produce Unified Population Health Management Portal. These Dashboards help the Clinical, the Financial and the Operational Stakeholders to make smarter decisions to achieve desired outcomes.