Predictive modeling's applications in health care have multiplied. Now predictive modeling can actually direct care management initiatives and clinical interventions. Most importantly, by connecting risk with cost, predictive models can impact healthcare revenues by controlling preventable costs, such as the costs of fraud.

The Predictive Modeling Congress brings together both the medical management and actuarial/underwriting sides of Predictive Modeling. It merges the clinical and mathematical applications of predictive modeling. On the clinical end, predictive models can assess risk, stratify member populations according to risk, and guide interventions and care management strategies. On the statistics side, predictive models can use data available from care providers and patients to more accurately assess risk and forecast outcomes. For healthplans, predictive models can provide more comprehensive information about the members they serve. This conference is the first event of 2011 to address predictive modeling's newest applications after the implementation of healthcare reform.