Using Data to Reduce and Predict Prescription Drug Fraud
MITRE researchers have developed a powerful analytical tool to predict and identify prescription drug fraud schemes involving patients, prescribers, and pharmacies. The system shows promise for state and federal government efforts to combat opioid abuse.
The MITRE team, led by Jaya Tripathi, applied several analytic methods to 18 months of Prescription Drug Monitoring Program (PDMP)data from Indiana. The team developed techniques to identify individuals with suspicious drug-seeking behavior and “doctor shoppers” who re-sell the drugs on the streets, as well as physicians and pharmacies who aid and abet such activities.