Medicare Part D Prescriber Risk & Compliance Analytics System

National-scale analytical framework identifying high-risk Medicare Part D prescribers through temporal machine learning

$50B+
Annual Improper Payments
72.46%
Predictive Accuracy (AUC)
33×
Improvement vs Random
$10.6M
5-Year Savings (Moderate)
1.38M
Providers Analyzed
3.7 hrs
Processing Time
System Performance Metrics
72.5%
Temporal AUC
3.3%
Top 1% Precision
Key Achievements
26 Exclusions in Top 1,000
99.9% Legitimate Provider Accuracy
Top Risk Indicators (SHAP Importance)
Total Claims
9.8%
Opioid Share
9.6%
Beneficiary Age
8.6%
Cost/Claim
8.0%
Brand Share
7.8%
Geographic Risk Distribution
Region Providers Exclusions Rate Risk Level
West 192,314 103 0.054% 1.82× baseline
Southwest 189,443 82 0.043% 1.46× baseline
Southeast 412,837 156 0.038% 1.28× baseline
Northeast 287,419 89 0.031% 1.05× baseline
Midwest 298,652 71 0.024% 0.81× baseline
High-Risk Specialties
Pain Management
2.34× risk
Psychiatry
1.76× risk
Internal Medicine
1.37× risk
Exclusion Rates
Pain Mgmt: 0.089%
Psychiatry: 0.067%
Internal: 0.052%
Implementation Roadmap & Financial Impact
I
Phase I (Years 1-2)
$2.6-7.8M
Real-time API, FHIR/HL7
II
Phase II (Years 3-5)
$26M
Network analysis, Adaptive learning
III
Phase III (Years 5+)
Billions
Full integration: Medicare, VA, TRICARE
Conservative
$8.6M
5-year / Top 500
Moderate
$10.6M
5-year / Top 1,000
Aggressive
$17.2M
5-year / Top 2,000
Full Deploy
$31.8M
5-year / Top 5,000