Composite = (BH share Γ median multiplier) β (overturn Γ median multiplier). Higher = worse. Cigna, Aetna, and Molina are the operationally meaningful worst actors β non-trivial volume, elevated BH share, below- or near-median overturn. Health First is a structural outlier (single-state, low absolute volume, explosive growth β see movers).
| Rank | Payer | BH Share | vs Median | Internal Overturn | Note |
|---|---|---|---|---|---|
| 1 | Health First | 39.9% | 4.9Γ | 43.2% | FL only, 481 BH denials, +1,449% YoY |
| 2 | Cigna | 27.4% | 3.4Γ | 40.8% | Highest absolute BH volume in dataset |
| 3 | Aetna | 21.7% | 2.7Γ | 32.1% (0.77Γ) | Only top-3 below median overturn |
| 4 | Molina | 12.7% | 1.6Γ | 36.3% | Volume monster behind Cigna |
| 5 | BCBS | 8.8% | 1.1Γ | 45.0% | Right at the median |
Per-family aggregate. Sort any column.
Payers with both years reported. Delta columns capture direction; flat industry baseline (median YoY BH denial volume change = β3.5%).
Yes β this dataset surfaces real cross-payer BH drift worth productizing, but the signal is at the issuer-state cell, not the payer-family rollup. The family view tells a clean directional story; the within-family variance (BCBS issuers spanning 0β28% BH share, Molina spanning 9β26%) is where a precedent-based product earns its keep. Roll up for narrative; sell the cell-level intelligence.
analyses/payer_*