Statistical Profile — BAYLOR SURGICAL HOSPITAL LAS COLINAS

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

Beds

$79.8M

Net Revenue

33.3%

Op Margin

17.7%

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	20	63	54	-0.62σ	P10	P12
Net Patient Revenue	$79.8M	$59.7M	$36.3M	-0.30σ	P56	P65
Operating Expenses	$53.3M	$62.7M	$37.1M	-0.36σ	P46	P58
Net Income	$26.6M	$-2.1M	-315,113	+0.27σ	P92 ▲	P86
Gross Patient Revenue	$175.0M	$186.6M	$134.7M	-0.37σ	P49	P54
Total Patient Days	1,289	12,073	10,290	-0.59σ	P10	P16
Medicare Day %	21.6%	30.9%	28.1%	-0.62σ	P27	P34
Operating Margin	33.3%	-4.8%	-0.7%	+1.98σ	P98 ▲	P98 ▲
Revenue per Bed	$4.0M	$1.2M	843,354	+1.30σ	P96 ▲	P95 ▲
Occupancy Rate	17.7%	53.7%	52.9%	-1.35σ	P11	P19
Commercial Payer %	78.4%	61.2%	69.3%	+0.94σ	P85	P74
Net-to-Gross Ratio	45.6%	33.3%	28.5%	+0.34σ	P70	P75
Expense per Bed	$2.7M	$1.2M	933,465	+0.45σ	P87	P91 ▲
Revenue per Patient Day	61,947	7,054	5,735	+0.16σ	P98 ▲	P96 ▲
Payer Diversity Index	0.338	0.473	0.412	-0.69σ	P17	P27

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%	$79.8M	nan	+nanσ
Operating Margin	2.1%	0.3326	nan	+nanσ
Occupancy Rate	44.3%	0.1766	nan	+nanσ
Revenue Per Bed	2.6%	$4.0M	nan	+nanσ
Net To Gross Ratio	22.4%	0.4563	nan	+nanσ

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