Compare a predictive model vs random screening for patient identification. Visualize hit rates, confusion matrices, and financial impact in real time.
Model 1
21.03%
Hit Rate (PPV)
Random (coin flip Se=Sp=50%)
10.00%
Hit Rate (= Prevalence always)
Hit Rate (of those screened, what % are truly positive)
Sensitivity (what % of real positives each strategy captures)
Fair comparison: same number of patients screened
| Strategy | Screened | Screening Cost | Positives Captured | Gross Revenue | Net Result | Cost per positive captured |
|---|---|---|---|---|---|---|
| Model 1 | 19,660 | $19,660,000 | 4,135 | $4,135,000,000 | $4,115,340,000 | $4,755 |
| Random (50%) | 25,000 | $25,000,000 | 2,500 | $2,500,000,000 | $2,475,000,000 | $10,000 |
Model 1 advantage vs random
$1,640,340,000
Model 1 ROI
20,933%
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