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Benefits Fraud Prevention
Predict, Identify and Stamp Out Fraud - before it happens
||Impact Solutions' FraudPrev™ solutions identify fraudulent activities, enhance investigations and prevent improper payments to those who take advantage of the government social systems.
Data mining has achieved an 85 percent accuracy rate in detecting collusive fraud rings, and would result in large and tangible total annual savings. As an example, LA County identified at least $6.8 million in such savings. The FraudPrev™ Child Welfare (CW) module solution spans an eligible family’s entry into a States welfare assistance program until the work situation and child care is stable, ideally within six months.
||The FraudPrev™ solutions can be applied to many areas of government – from detecting collusive patterns in entitlement programs such as Medicare and Medicaid to purchase-card fraud, bid-rigging and terrorist financing. The FraudPrev™ solutions detect suspicious activity by merging a network of multiple data sources, then prioritizes and routes the resulting alerts to the appropriate decision makers. It uses a neural network of intelligent, learning, predictive algorithms to uncover previously hidden linkages between participants and providers engaged in fraud to facilitate the investigation, capture and display of key information pertinent to the case.
Ultimately, the FraudPrev™ CW module uses patterns and characteristics associated with fraud to create models that score recipients and child care providers on the likelihood they will commit fraud in the future. By analyzing documents related to services including welfare, health care, in-home support services and food stamps, the technology can actually prevent fraud before it occurs.
These Benefit Fraud solutions, available on premise or as a service (Cloud based), can be a vital tool in a States effort to prevent public assistance fraud and enhance the district attorney’s fraud investigations. Impact Solutions Consulting can host your State or Local government entity’s extensive recipient data in a secure environment in order to expedite implementation, and free up resources the county would have had to devote to additional staff and hardware.
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