Improving the Outcomes of Home and Community-Based Services for Medicaid Populations Through the Use of Analytics.

The goal of this project is to create a commercial prototype of an analytics system that predicts the best match between individuals with disabilities and providers in the ""Next of Kin"" care model of Home and Community-Based Services (HCBS) that increases access to care. This project enhances the current HCBS service provision infrastructure by developing a data-driven approach to match the right person to the right provider for the target population using physical and social determinants of health data and predictive analytics to better support both individual and provider. Project objectives are to: (1) define and collect the key variables that will optimize the match; (2) create a data warehouse that will store these variables; and (3) produce preliminary analytical models that can predict the optimal match.