Weighted risk models for dynamic healthcare fraud detection

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Collection: Articles
Title: Weighted risk models for dynamic healthcare fraud detection / Alyssa J. Rolfe
Author: Rolfe, Alyssa J
Notes: Sumario: 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.
Related records: En: Risk management & insurance review. - Malden, MA : The American Risk and Insurance Association by Blackwell Publishing, 1999- = ISSN 1098-1616. - 03/05/2021 Tomo 24 Número 2 - 2021 , p. 143-150
Materia / lugar / evento: Salud Medicina Fraude Riesgo Fraude en el seguro Análisis de riesgos Estados Unidos
Other categories: 7
Rights: In Copyright (InC): http://rightsstatements.org/vocab/InC/1.0/
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