Statistical Profile — UNIVERSITY OF MARYLAND MED SYS
CCN 210002 | BALTIMORE CITY, MD | 7 outlier flags
🛡️ Public data only — no PHI permitted on this instance.
779
Beds
$1.85B
Net Revenue
-50.0%
Op Margin
72.0%
Occupancy
7
Outlier Flags
Statistical Outliers (7)
Metrics where this hospital is >2 standard deviations from the national mean. Investigate in diligence — could signal operational issues or data quality problems.
- Beds: +3.5σ above national mean
- Net Patient Revenue: +3.5σ above national mean
- Operating Expenses: +5.5σ above national mean
- Net Income: -7.1σ below national mean
- Total Patient Days: +3.4σ above national mean
- Operating Margin: -2.2σ below national mean
- Net-to-Gross Ratio: +2.3σ above national mean
Statistical Profile — All Variables
Each metric compared to national (n=6,123) and MD (n=59) peers. Z-score shows standard deviations from national mean.
| Metric | Hospital | Nat'l Median | MD Median | Z-Score | Nat'l %ile | State %ile |
|---|---|---|---|---|---|---|
| Beds | 779 | 63 | 190 | +3.53σ | P99 ▲ | P97 ▲ |
| Net Patient Revenue | $1.85B | $59.7M | $270.0M | +3.49σ | P98 ▲ | P96 ▲ |
| Operating Expenses | $2.89B | $62.7M | $272.2M | +5.47σ | P99 ▲ | P97 ▲ |
| Net Income | $-1.04B | $-2.1M | $-24.1M | -7.11σ | P0 ▼ | P0 ▼ |
| Gross Patient Revenue | $2.14B | $186.6M | $335.5M | +0.66σ | P88 | P96 ▲ |
| Total Patient Days | 204,610 | 12,073 | 46,903 | +3.36σ | P98 ▲ | P96 ▲ |
| Medicare Day % | 25.9% | 30.9% | 39.6% | -0.40σ | P38 | P21 |
| Medicaid Day % | 7.2% | 5.1% | 6.6% | -0.18σ | P62 | P60 |
| Operating Margin | -50.0% | -4.8% | -8.3% | -2.17σ | P0 ▼ | P0 ▼ |
| Revenue per Bed | $2.4M | $1.2M | $1.5M | +0.46σ | P84 | P86 |
| Occupancy Rate | 72.0% | 53.7% | 74.4% | +0.79σ | P74 | P37 |
| Commercial Payer % | 66.8% | 61.2% | 53.5% | +0.38σ | P63 | P80 |
| Net-to-Gross Ratio | 86.6% | 33.3% | 83.2% | +2.30σ | P97 ▲ | P94 ▲ |
| Expense per Bed | $3.7M | $1.2M | $1.5M | +0.88σ | P95 ▲ | P95 ▲ |
| Revenue per Patient Day | 9,041 | 7,054 | 5,725 | -0.04σ | P61 | P86 |
| Payer Diversity Index | 0.481 | 0.473 | 0.534 | +0.31σ | P54 | P24 |
Multi-Variable Regression Residuals
For each key metric, the national regression model predicts a value. The residual shows how much this hospital over/under-performs after controlling for all other variables.
| Target | Model R² | Actual | Predicted | Residual |
|---|---|---|---|---|
| Net Patient Revenue | 74.0% | $1.85B | $1.59B | +1.00σ |
| Operating Margin | 2.1% | -0.5000 | -0.0250 | -2.50σ |
| Occupancy Rate | 44.3% | 0.7196 | 0.7921 | -0.40σ |
| Revenue Per Bed | 2.6% | $2.4M | $1.8M | +0.29σ |
| Net To Gross Ratio | 22.4% | 0.8660 | 0.1617 | +4.06σ |