Statistical Profile — BERGER HOSPITAL

🛡️ Public data only — no PHI permitted on this instance.

Beds

$111.6M

Net Revenue

14.4%

Op Margin

33.6%

Occupancy

Outlier Flags

Statistical Profile — All Variables

Each metric compared to national (n=6,123) and OH (n=235) peers. Z-score shows standard deviations from national mean.

Metric	Hospital	Nat'l Median	OH Median	Z-Score	Nat'l %ile	State %ile
Beds	83	63	77	-0.28σ	P56	P53
Net Patient Revenue	$111.6M	$59.7M	$74.7M	-0.23σ	P62	P60
Operating Expenses	$95.5M	$62.7M	$65.4M	-0.27σ	P59	P56
Net Income	$16.1M	$-2.1M	-371,404	+0.20σ	P89	P86
Gross Patient Revenue	$315.5M	$186.6M	$238.2M	-0.30σ	P59	P56
Total Patient Days	10,170	12,073	12,920	-0.42σ	P47	P44
Medicare Day %	24.3%	30.9%	26.9%	-0.48σ	P34	P41
Medicaid Day %	5.9%	5.1%	3.7%	-0.28σ	P55	P71
Operating Margin	14.4%	-4.8%	-0.3%	+1.04σ	P88	P83
Revenue per Bed	$1.3M	$1.2M	$1.3M	-0.07σ	P56	P52
Occupancy Rate	33.6%	53.7%	53.3%	-0.72σ	P28	P23
Commercial Payer %	69.8%	61.2%	69.1%	+0.52σ	P69	P52
Net-to-Gross Ratio	35.4%	33.3%	30.7%	-0.15σ	P54	P65
Expense per Bed	$1.2M	$1.2M	$1.3M	-0.17σ	P47	P46
Revenue per Patient Day	10,974	7,054	7,089	-0.03σ	P70	P68
Payer Diversity Index	0.451	0.473	0.445	+0.10σ	P41	P52

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%	$111.6M	$39.6M	+0.28σ
Operating Margin	2.1%	0.1442	-0.0546	+1.05σ
Occupancy Rate	44.3%	0.3357	0.4767	-0.77σ
Revenue Per Bed	2.6%	$1.3M	$1.4M	-0.05σ
Net To Gross Ratio	22.4%	0.3538	0.3195	+0.20σ

Hospital Profile Demand Analysis 3-Year History National Regression OH Market