Hilltop Researchers Study Adaptability of the Hilltop Pre-AH Model

Abstract

In a new article in Medical Care titled Behind the Curtain: Comparing Predictive Models Performance in 2 Publicly Insured Populations, Hilltop researchers Morgan Henderson, Leigh Goetschius, Fei Han, and Ruichen Sun—along with UMBC researcher Ian Stockwell—share the findings of a study they conducted on the inner workings of the Hilltop Pre-AH Model™, a large-scale predictive model that predicts the risk of avoidable hospitalizations and has been deployed in two distinct populations—Medicare and Medicaid—with a particular emphasis on adaptability issues.