Predictive Analytics for Patient Selection and other Population Health Approaches to Advanced Illness Management

Tuesday, May 2, 2017: 3:15 PM-4:15 PM
Lincoln West (Washington Hilton) - Concourse Level
Terri Maxwell, PhD, APRN, Turn-Key Health, Philadelphia, PA and Ian Duncan, FSA, FIA, FCIA, FCA, MAAA, University of California Santa Barbara, Santa Barbara, CA
Patients in the last 6 months of life account for about one-third of Medicare’s budget, and patients are often subject to non-beneficial care in their final months of life that is burdensome and costly. This session will discuss the development of a predictive model to identify these patients, as well as community-based population health advanced illness management (AIM) approaches that can help improve quality of life for this patient population. Faculty will also describe key performance metrics and analytic methods to quantify direct and indirect cost savings.

Learning Objectives:
1. Describe the role of predicative analytics in population health and AIM
2. Discuss population health AIM approaches
3. Define key metrics and analytic methods to validate the programís clinical and financial outcomes

CE/CME: Nurse, Physician and Social Worker