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Justice-sector AI / United States / U.S. Department of Justice — Drug Enforcement Administration

Analyzing Prescription Monitoring Program Data

U.S. Department of Justice — Drug Enforcement Administration · Police and forensics ·

status as stated: Pre-deploymentUse-case inventory entryRisk assessment

The DOJ 2025 inventory lists Analyzing Prescription Monitoring Program Data for U.S. Department of Justice — Drug Enforcement Administration. The row states the stage as Pre-deployment; it classifies the use case as Classical/Predictive Machine Learning for Law Enforcement and says it addresses DEA investigators currently rely on manual manipulation of…

DEA investigators currently rely on manual manipulation of data in spreadsheets to conduct Prescription Monitoring Program (PMP) analysis. This requires 8-10 hours of labor (data extraction, cleaning, cross referencing, narrative synthesis), and, since investigators analyze data in different ways, results vary. There is little consistency across the agency or even between investigators in terms of what data is examined and there is no easy way to identify patterns such as MMEs, combinations, and early fills.

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