Weighted risk models for dynamic healthcare fraud detection

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      <subfield code="a">Despite efforts to prevent it, fraud in the United States healthcare system remains a serious and pressing issue. Since healthcare fraud is a complex and multi-faceted problem, fraud-fighting solutions must be flexible enough to address the ever-evolving nature of the crime. Here, we present a method to identify healthcare fraud in such a manner that incorporates both potential fraud as well as risky provider behavior. The proposed weighted risk model provides a framework for creating a dynamic fraud detection database that can be easily scaled up to incorporate emerging fraud schemes.</subfield>
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      <subfield code="g">03/05/2021 Tomo 24 Número 2 - 2021 , p. 143-150</subfield>
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