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Payers are accustomed to predictive models that use claims and demographic data to provide insights about patient costs and the overall likelihood of costly events. But newer, more targeted models are emerging that use traditional data sources such as claims in new ways and incorporate other data types. These methodologies have created opportunities for payers to infuse more actionable information into their care management workflows and population health initiatives.

View this webinar "Emerging Analytics for Population Health and Care Management" to discover how focused risk models can help payers make critical patient stratification and intervention decisions in a more informed fashion.

During this presentation, speakers covered:
  • The turn to more actionable methodologies and characteristics of successful risk models
  • How new methodologies can be accessed through the Flexible Analytics solution
  • Overviews and business applications of four new models for care management:
    1. Population classification
    2. Risk of hospitalization
    3. Risk of readmission
    4. Risk of diabetes onset


Watch the video
Watch the video