National-scale framework identifying high-risk counties through ML-based modeling
| Grade | Score Range | States | Percentage |
|---|---|---|---|
| A | 80-100 | 2 | 3.9% |
| B | 70-79 | 12 | 23.5% |
| C | 60-69 | 20 | 39.2% |
| D | 50-59 | 12 | 23.5% |
| F | <50 | 5 | 9.8% |
| Scenario | Annual Savings | ROI | Payback |
|---|---|---|---|
| Conservative | $20.8B | 461% | 2.2 months |
| Moderate | $26.5B | 347% | 3.5 months |
| Aggressive | $36.7B | 178% | 6.3 months |
| 1. Utah | 84.7 |
| 2. Rhode Island | 83.7 |
| 3. Idaho | 76.6 |
| 4. Hawaii | 76.4 |
| 5. Montana | 75.1 |
| 47. Connecticut | 46.6 |
| 48. Vermont | 44.7 |
| 49. Maine | 42.5 |
| 50. Mississippi | 42.4 |
| 51. District of Columbia | 36.0 |
| Phase | Timeline | Scope | Financial Impact |
|---|---|---|---|
| Phase I | Years 1-2 | Pilot Expansion: Medicare Advantage integration, sub-county analysis | $10-15B annually |
| Phase II | Years 3-5 | National Rollout: All 3,198 counties, Medicaid pilots in 5 states | $26.5B annually |
| Phase III | Years 5+ | Cross-Program Integration: Medicare, Medicaid, VA, TRICARE via APIs | $36.7B annually |
Medicare Program Integrity & Healthcare Equity Analytics Framework
Validated against federal benchmarks • 98.4% HRSA concordance • 99.1% model accuracy
Data source: CMS Medicare Geographic Variation Files, HRSA, AHRF, U.S. Census (2019-2024)