To ensure health care providers are paid fairly based on patient health status and to encourage providers to care for all patients regardless of healthcare needs, risk adjustment methodology has been used to account for differences in the characteristics of patients. However, current risk adjustment methodology has significant and well-recognized limitations. During this 90-minute webinar hosted by The Parity Center at the University of Pennsylvania, a panel of experts will present and discuss current strategies that have been designed to improve the accuracy and equity of risk scoring methodology, focusing on well-known risk adjustment methods such as Medicare’s Hierarchical Condition Categories (CMS-HCC) model. Topics to be discussed include fairness in risk adjustment, use of machine learning techniques to improve accuracy and combat selection, and current methodological advancements in social risk adjustment.
Panelists will include Ravi Parikh, MD, MPP (Winship Cancer Institute at Emory Midtown, Emory University School of Medicine); Daniel Shenfeld, PhD, MSc (Manganese Health Data Solutions); Karen E. Joynt Maddox, MD, MPH (Washington University in St. Louis) and Austin Kilaru, MD, MHSP (Department of Emergency Medicine, University of Pennsylvania). Amol Navathe, MD, PhD (Department of Medical Ethics and Health Policy, University of Pennsylvania and the Philadelphia VA Medical Center) will moderate the panel discussion. Webinar participants will be invited to participate in a Q&A session with the panelists during the event.
