Statistical Profile — BAYTOWN MEDICAL CENTER LP

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

Beds

$51.1M

Net Revenue

-28.5%

Op Margin

65.2%

Occupancy

Outlier Flags

Statistical Outliers (1)

Metrics where this hospital is >2 standard deviations from the national mean. Investigate in diligence — could signal operational issues or data quality problems.

Payer Diversity Index: -2.8σ below national mean

Statistical Profile — All Variables

Each metric compared to national (n=6,123) and TX (n=583) peers. Z-score shows standard deviations from national mean.

Metric	Hospital	Nat'l Median	TX Median	Z-Score	Nat'l %ile	State %ile
Beds	14	63	54	-0.65σ	P4 ▼	P4 ▼
Net Patient Revenue	$51.1M	$59.7M	$36.3M	-0.36σ	P47	P59
Operating Expenses	$65.7M	$62.7M	$37.1M	-0.33σ	P51	P62
Net Income	$-14.6M	$-2.1M	-315,113	-0.01σ	P23	P12
Gross Patient Revenue	$389.7M	$186.6M	$134.7M	-0.26σ	P62	P66
Total Patient Days	3,330	12,073	10,290	-0.55σ	P25	P31
Medicare Day %	1.9%	30.9%	28.1%	-1.61σ	P3 ▼	P3 ▼
Operating Margin	-28.5%	-4.8%	-0.7%	-1.10σ	P13	P21
Revenue per Bed	$3.7M	$1.2M	843,354	+1.12σ	P95 ▲	P95 ▲
Occupancy Rate	65.2%	53.7%	52.9%	+0.53σ	P65	P65
Commercial Payer %	98.1%	61.2%	69.3%	+1.90σ	P97 ▲	P96 ▲
Net-to-Gross Ratio	13.1%	33.3%	28.5%	-1.21σ	P6 ▼	P11
Expense per Bed	$4.7M	$1.2M	933,465	+1.29σ	P97 ▲	P98 ▲
Revenue per Patient Day	15,356	7,054	5,735	-0.02σ	P82	P81
Payer Diversity Index	0.038	0.473	0.412	-2.79σ	P3 ▼	P4 ▼

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%	$51.1M	nan	+nanσ
Operating Margin	2.1%	-0.2850	nan	+nanσ
Occupancy Rate	44.3%	0.6517	nan	+nanσ
Revenue Per Bed	2.6%	$3.7M	nan	+nanσ
Net To Gross Ratio	22.4%	0.1312	nan	+nanσ

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