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

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.