Intelligent prioritization paired with an expanded data set that includes the social determinants of health gives Care and Disease management companies the power to prioritize their intervention services and identify more diagnosed, and even undiagnosed, members to increase the efficacy of their programs.

Within a member population, Acuvia looks beyond claims data to include clinical data, prescription data, social determinants of health insights, family history, and treatment adherence indicators.

In the example below, the member who is exhibiting signs of rising risk and is undiagnosed or has been diagnosed but is non-adherent, would be prioritized for outreach by clinical case managers to receive support.

Today’s population health management solutions are retrospective, primarily using claims data to determine population health segmentation, missing up to 80% of the members who could benefit from care management based on their rising risk or non-adherence to treatment protocols.

Acuvía’s™ unique member consented data approach allows our model to use all available health data to actually predict patient risk, closing the gap left by traditional retrospective models.

Care management has been an important component in the healthcare ecosystem for more than two decades. With an expanded dataset and predictive modeling, Acuvía™ will help companies in this sector modernize population health management.