Statistical Profile — PAM SPECIALTY HOSPITAL OF DAYTON

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

Beds

$17.0M

Net Revenue

2.9%

Op Margin

55.5%

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	44	63	77	-0.49σ	P40	P33
Net Patient Revenue	$17.0M	$59.7M	$74.7M	-0.43σ	P18	P13
Operating Expenses	$16.5M	$62.7M	$65.4M	-0.43σ	P15	P15
Net Income	486,854	$-2.1M	-371,404	+0.09σ	P66	P54
Gross Patient Revenue	$96.1M	$186.6M	$238.2M	-0.41σ	P38	P30
Total Patient Days	8,916	12,073	12,920	-0.44σ	P44	P40
Medicare Day %	43.7%	30.9%	26.9%	+0.49σ	P73	P87
Medicaid Day %	2.2%	5.1%	3.7%	-0.57σ	P28	P28
Operating Margin	2.9%	-4.8%	-0.3%	+0.47σ	P69	P59
Revenue per Bed	387,018	$1.2M	$1.3M	-0.57σ	P16	P19
Occupancy Rate	55.5%	53.7%	53.3%	+0.15σ	P53	P53
Commercial Payer %	54.1%	61.2%	69.1%	-0.24σ	P38	P12
Net-to-Gross Ratio	17.7%	33.3%	30.7%	-0.99σ	P14	P9 ▼
Expense per Bed	375,953	$1.2M	$1.3M	-0.49σ	P14	P21
Revenue per Patient Day	1,910	7,054	7,089	-0.07σ	P17	P19
Payer Diversity Index	0.516	0.473	0.445	+0.55σ	P73	P86

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%	$17.0M	$61.2M	-0.17σ
Operating Margin	2.1%	0.0286	-0.0546	+0.44σ
Occupancy Rate	44.3%	0.5552	0.4663	+0.49σ
Revenue Per Bed	2.6%	387,018	$1.6M	-0.64σ
Net To Gross Ratio	22.4%	0.1773	0.4022	-1.30σ

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