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Law / Ethics / Business / Crimes / Healthcare reform in the United States / Predictive analytics / Medicare / Insurance fraud / Credit card fraud / Insurance / Fraud / Business intelligence


Parente, Stephen and Fortel Analytics LLC, 2012, “Assessment of Predictive Modeling for Identifying Fraud within the Medicare Program”, Health Management, Policy and Innovation, 1 (2):8-37 Assessment of Predictive Mo
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Document Date: 2013-11-13 13:16:52


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Company

M.B.A. Fortel Analytics LLC / M.A. Fortel Analytics LLC / Fortel Analytics LLC / /

Country

United States / /

Currency

USD / /

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Facility

University of Minnesota / Ph.D. University of Minnesota / /

IndustryTerm

transaction payment systems / data systems / score health insurance claims transactions using technology / fraud predictive analytics algorithm / predictive-modeling technology / health insurance claims / healthcare programs / technology-based incentive / analytical detection technology / inpatient services / financial services / predictive analytical technology / health insurance investigators / health insurance / predictive modeling technology / educational tools / health insurance fraud detection / healthcare fraud / peer / abuse payment prevention technologies / abuse detection algorithm / healthcare claims / health insurance claims systems / electronic payment technologies / predictive algorithm / health insurance industry / insurance data / financial services industry real-time fraud prevention analytic tools / predictive modeling analytical technology / /

Organization

US Department of Health and Human Services / Department of Finance / Harvard / Federal Bureau of Investigation / University of Minnesota / Medicare / /

Person

Thomas Sullivan / Malcolm K. Sparrow / Allen Jost / Brian Schulte / Stephen T. Parente / /

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Position

contractor / Professor / medical director / physician / Administrative Contractor / /

ProvinceOrState

Minnesota / /

Region

Midwest / /

Technology

predictive modeling analytical technology / score health insurance claims transactions using technology / predictive analytical technology / predictive-modeling technology / abuse detection algorithm / abuse payment prevention technologies / electronic payment technologies / predictive modeling technology / fraud predictive analytics algorithm / analytical detection technology / predictive algorithm / /

URL

http /

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