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The future of population health analytics: The value of complimenting risk adjustment models with predictive analytics
 
Top of mind today is the use of risk adjustment models for reimbursement related to ACA as well as other government funded programs (i.e. Medicaid, Medicare, Marketplace). Risk adjustment models were designed specifically for measuring the average risk of a population for payment purposes as opposed to predictive models designed for member stratification and care management efforts.

Can these mandated reimbursement models also serve as predictive models for care management? Are they meant to complement or substitute what health care organizations are leveraging today to identify high-risk members and appropriate intervention strategies? This webinar will explore why careful consideration should be given to the methodology a health care organization employs for population health management and how to get the best of both worlds by integrating the two.

Please join Kim Jayhan on Tuesday, March 31st 2015 at 2PM Eastern for this complimentary, enlightening webinar. Click here for detailed information. 

Click here to register (All registrations must be received before 1:00 PM Eastern on Monday, March 30th.)
 
Past Event CD-Roms
Did you miss a past webinar event? Post-event materials for applicable HealthcareWebSummit events are available for purchase.  Click here for more information and a list of past events.

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