Statistical Profile — SSH - LAUREL HIGHLANDS INC

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

Beds

$10.8M

Net Revenue

5.0%

Op Margin

44.4%

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	40	63	106	-0.51σ	P36	P19
Net Patient Revenue	$10.8M	$59.7M	$83.4M	-0.45σ	P9 ▼	P4 ▼
Operating Expenses	$10.3M	$62.7M	$85.9M	-0.45σ	P6 ▼	P2 ▼
Net Income	546,238	$-2.1M	$-3.8M	+0.09σ	P66	P64
Gross Patient Revenue	$79.4M	$186.6M	$340.6M	-0.42σ	P34	P21
Total Patient Days	6,488	12,073	21,342	-0.49σ	P39	P25
Medicare Day %	39.8%	30.9%	27.3%	+0.29σ	P67	P81
Operating Margin	5.0%	-4.8%	-4.4%	+0.57σ	P74	P72
Revenue per Bed	270,623	$1.2M	$1.1M	-0.63σ	P9 ▼	P7 ▼
Occupancy Rate	44.4%	53.7%	57.9%	-0.29σ	P39	P32
Commercial Payer %	60.2%	61.2%	70.9%	+0.05σ	P48	P23
Net-to-Gross Ratio	13.6%	33.3%	27.4%	-1.19σ	P7 ▼	P7 ▼
Expense per Bed	256,967	$1.2M	$1.2M	-0.54σ	P7 ▼	P6 ▼
Revenue per Patient Day	1,668	7,054	6,766	-0.07σ	P13	P10 ▼
Payer Diversity Index	0.479	0.473	0.420	+0.30σ	P53	P71

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%	$10.8M	nan	+nanσ
Operating Margin	2.1%	0.0505	nan	+nanσ
Occupancy Rate	44.3%	0.4444	nan	+nanσ
Revenue Per Bed	2.6%	270,623	nan	+nanσ
Net To Gross Ratio	22.4%	0.1363	nan	+nanσ

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