Integrating outputs from machine learning models, multiple data sources and real-time data can allow for continuous monitoring to enable personalized interventions tailored to a member’s overall health. Join this session to learn how one health insurance provider has streamlined high volumes of member referrals coming from multiple sources in order to target the care and/or intervention that a member may need. Speakers will discuss how their identification and stratification processes have supported their plan to create efficiencies and catch members earlier in their care management journey to prevent catastrophic illness and disease. Join us to learn how to build unique data identification and stratification processes for your organization, and how you can empower your care management teams to use data to drive member assessments and health interventions.