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Todd Steffes Explains How Predictive Modeling Can Reduce the Cost of Patient Non-Adherence

Article

Todd Steffes, Vice President, Healthcare Practice, FICO, explains how predictive modeling on medication adherence translates to better value and resource allocation in an industry where nonadherence costs more than $300 billion.

Mr. Steffes discusses how this decision-management company utilizes its own predictive analytic technology combined with third-party public data to evaluate an individual's medication adherence history over the period of 1 year. The data are then used to help healthcare stakeholders more efficienty utilize their resource allocation, spending more upfront time with at-risk patients and less with patients known to take their medicines as prescribed.

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