Which government big data initiative significantly reduced Medicare fraud by using retail-inspired pattern recognition technology to identify suspicious billing patterns?

Big data analytics has transformed how governments make policy decisions and deliver services to citizens. From predicting resource needs to identifying fraud patterns, government agencies increasingly rely on sophisticated data analysis to improve operations. This poll tests your knowledge of how modern governments leverage retail-inspired big data techniques to enhance public service delivery and policy effectiveness.

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The Centers for Medicare & Medicaid Services' Fraud Prevention System (FPS)
The IRS Tax Return Analysis Program (TRAP)
The Department of Health's Medical Billing Verification System (MBVS)
The Federal Healthcare Administration's ClaimCheck Initiative