Comparison of predictive risk modeling among 5 European regions in the ACT project

Abstract

Background: Predictive risk modeling elaborated from large population-based datasets using citizens traits, including historical information on use of healthcare resources, as potential predictors have shown to be useful mainly for two purposes: (i) to design health policies, with a preventive approach, in a given geographical area; and, (ii) to identify individuals with high risk for presenting undesirable health events (case finding) such as hospital admissions, functional decline and/or death. The ACT (Advancing Care Coordination and Telehealth deployment) programme is fully aligned with the European Innovation Partnership on Active and Healthy Aging (EIP on AHA)