The US Supplemental Nutrition Assistance Program (SNAP) has seen a rise in payment errors from 2019 through 2024, from $4 billion to $10 billion per year. A portion of the errors are due to deliberate fraud, which usually accounts for 1%-2% of the lost dollars. As a result, building systems that focus solely on fraud presents an asymmetric value proposition that's unstainable when 98% of improper payments are due to inadvertent agency and household mistakes. However, the traditional process of identifying payment errors is divided into fraud and non-fraud detection strategies, which are cumbersome and inefficient. The SAS Payment Integrity for Food Assistance model aids the quality control teams in risk assessment to identify cases most likely to have payment errors.
Presenting Company: SAS
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