Statistical Profile — BAYLOR SCOTT & WHITE - BUDA

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

Beds

$24.3M

Net Revenue

-20.9%

Op Margin

19.1%

Occupancy

Outlier Flags

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	15	63	54	-0.65σ	P5 ▼	P6 ▼
Net Patient Revenue	$24.3M	$59.7M	$36.3M	-0.42σ	P27	P37
Operating Expenses	$29.3M	$62.7M	$37.1M	-0.41σ	P31	P42
Net Income	$-5.1M	$-2.1M	-315,113	+0.05σ	P37	P26
Gross Patient Revenue	$113.4M	$186.6M	$134.7M	-0.41σ	P41	P48
Total Patient Days	1,043	12,073	10,290	-0.59σ	P8 ▼	P13
Medicare Day %	27.8%	30.9%	28.1%	-0.31σ	P43	P49
Operating Margin	-20.9%	-4.8%	-0.7%	-0.72σ	P20	P26
Revenue per Bed	$1.6M	$1.2M	843,354	+0.07σ	P66	P81
Occupancy Rate	19.1%	53.7%	52.9%	-1.29σ	P12	P20
Commercial Payer %	72.2%	61.2%	69.3%	+0.64σ	P74	P56
Net-to-Gross Ratio	21.4%	33.3%	28.5%	-0.82σ	P21	P32
Expense per Bed	$2.0M	$1.2M	933,465	+0.16σ	P74	P86
Revenue per Patient Day	23,265	7,054	5,735	+0.01σ	P91 ▲	P89
Payer Diversity Index	0.401	0.473	0.412	-0.25σ	P28	P47

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%	$24.3M	nan	+nanσ
Operating Margin	2.1%	-0.2087	nan	+nanσ
Occupancy Rate	44.3%	0.1905	nan	+nanσ
Revenue Per Bed	2.6%	$1.6M	nan	+nanσ
Net To Gross Ratio	22.4%	0.2139	nan	+nanσ

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