Use predictive modeling in Medicare populations
Predictive modeling can help identify beneficiaries with the highest risk and capture those individuals with emerging risks that otherwise might missed. Coupling predictive modeling with integrated care management and appropriate technology can help case workers ensure Medicare beneficiaries receive efficient, high quality, cost effective healthcare.
Why use predictive modeling? Programs working with Medicare beneficiaries are being challenged to go beyond traditional utilization, case and disease management services with limited clinical resources. To meet that challenge, programs need innovative ways to identify beneficiaries in the population not only with costly chronic conditions but also those at the greatest risk for adverse outcomes.
Jo Anne Hunt, ARNP, CCM and Casenet's director of clinical solutions, talks about how integrated predictive modeling tools in a care management system can help users analyze data using complex logic and rules for millions of beneficiaries in a short period of time.
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