{
  "record": {
    "id": "c5189390-bc3b-4888-854d-276a2ef6caae",
    "code": "PAI-C5189390",
    "force": "Drug Enforcement Administration",
    "country": "United States",
    "country_code": "us",
    "is_country": true,
    "region": "Nationwide",
    "technology": "Analysis of prescription monitoring programme data",
    "technology_slug": "police-data-integration-platforms",
    "vendor": "",
    "vendor_slug": "",
    "programme": "",
    "status": "proposed",
    "stage": "horizon",
    "evidence": "official",
    "evidence_is_claim": false,
    "since": "",
    "legal_basis": "",
    "oversight": "",
    "notes": "The Justice Department's 2025 AI use case inventory (entry DOJ-0362, as consolidated by the Office of Management and Budget) lists 'Analyzing Prescription Monitoring Program Data' as pre-deployment, with no operational date. The entry says DEA investigators now spend eight to ten hours preparing prescription monitoring data by hand in spreadsheets, and that machine learning would automate data preparation, risk identification and a first narrative, helping to identify patterns such as morphine milligram equivalents, drug combinations and early fills. Although the entry is pre-deployment, it states that the average time to produce an analysis 'decreased from ten to two hours'. The department presumed the use high-impact and determined it is not.",
    "source": "Office of Management and Budget, 2025 federal AI use case inventory (DOJ-0362)",
    "source_url": "https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory/blob/main/Data/2025_individually_reported_AI_use_cases.csv",
    "last_checked": "2026-11-06",
    "record_url": "https://www.policeainews.com/tracker/record/c5189390-bc3b-4888-854d-276a2ef6caae"
  },
  "licence": "https://www.policeainews.com/data#licence"
}