PREDICTIVE MODELING PROCESSES FOR HEALTHCARE FRAUD DETECTION

A healthcare fraud management system receives healthcare claims, performs data reduction on information associated with the healthcare claims, and processes the reduced information associated with the healthcare claims by using a plurality of rules. The system also generates alarms, for the healthcare claims, based on the processing of the reduced information associated with the healthcare claims, generates scores for the alarms based on one or more predictive modeling rules, and prioritizes the healthcare claims, to create a list of prioritized healthcare claims, based on the generated scores for the alarms corresponding to the healthcare claims. The system further outputs, prior to payment of the healthcare claims, the list of the prioritized healthcare claims to a clearinghouse or a claims processor to assist the clearinghouse or the claims processor in determining whether to accept, deny, or review the healthcare claims.