Statistical Profile — GOOD SHEPHERD REHABILITATION HOSPITA

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

Beds

$100.9M

Net Revenue

-19.1%

Op Margin

59.3%

Occupancy

Outlier Flags

Statistical Profile — All Variables

Each metric compared to national (n=6,123) and PA (n=225) peers. Z-score shows standard deviations from national mean.

Metric	Hospital	Nat'l Median	PA Median	Z-Score	Nat'l %ile	State %ile
Beds	94	63	106	-0.22σ	P59	P46
Net Patient Revenue	$100.9M	$59.7M	$83.4M	-0.26σ	P60	P54
Operating Expenses	$120.2M	$62.7M	$85.9M	-0.22σ	P64	P57
Net Income	$-19.3M	$-2.1M	$-3.8M	-0.05σ	P20	P29
Gross Patient Revenue	$281.1M	$186.6M	$340.6M	-0.32σ	P57	P45
Total Patient Days	20,350	12,073	21,342	-0.22σ	P61	P48
Medicare Day %	43.5%	30.9%	27.3%	+0.48σ	P72	P86
Medicaid Day %	1.6%	5.1%	1.9%	-0.62σ	P22	P44
Operating Margin	-19.1%	-4.8%	-4.4%	-0.63σ	P22	P24
Revenue per Bed	$1.1M	$1.2M	$1.1M	-0.21σ	P45	P45
Occupancy Rate	59.3%	53.7%	57.9%	+0.29σ	P58	P52
Commercial Payer %	54.9%	61.2%	70.9%	-0.21σ	P39	P16
Net-to-Gross Ratio	35.9%	33.3%	27.4%	-0.12σ	P55	P79
Expense per Bed	$1.3M	$1.2M	$1.2M	-0.12σ	P52	P55
Revenue per Patient Day	4,961	7,054	6,766	-0.06σ	P32	P31
Payer Diversity Index	0.509	0.473	0.420	+0.51σ	P71	P90

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%	$100.9M	$156.9M	-0.22σ
Operating Margin	2.1%	-0.1910	-0.0483	-0.75σ
Occupancy Rate	44.3%	0.5931	0.4820	+0.61σ
Revenue Per Bed	2.6%	$1.1M	$1.6M	-0.28σ
Net To Gross Ratio	22.4%	0.3591	0.3696	-0.06σ

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