Medicaid fraud detection using data broker services

Abstract

In this paper, we propose an integrated architecture to detect Medicaid fraud at the time of application approval process. This architecture takes the advantages of several public databases available through different government or private organizations. These databases are used to verify applicant's information and discover any undeclared assets. We also propose a customizable weighting scheme to determine eligibility for Medicaid services.