Statistical Profile — BAYLOR MEDICAL CENTER AT UPTOWN

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

Beds

$75.8M

Net Revenue

21.2%

Op Margin

12.3%

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	24	63	54	-0.60σ	P14	P17
Net Patient Revenue	$75.8M	$59.7M	$36.3M	-0.31σ	P55	P64
Operating Expenses	$59.8M	$62.7M	$37.1M	-0.34σ	P49	P61
Net Income	$16.0M	$-2.1M	-315,113	+0.20σ	P89	P82
Gross Patient Revenue	$191.7M	$186.6M	$134.7M	-0.36σ	P50	P55
Total Patient Days	1,076	12,073	10,290	-0.59σ	P8 ▼	P13
Medicare Day %	25.8%	30.9%	28.1%	-0.41σ	P37	P44
Operating Margin	21.2%	-4.8%	-0.7%	+1.38σ	P94 ▲	P88
Revenue per Bed	$3.2M	$1.2M	843,354	+0.87σ	P93 ▲	P93 ▲
Occupancy Rate	12.3%	53.7%	52.9%	-1.56σ	P6 ▼	P12
Commercial Payer %	74.2%	61.2%	69.3%	+0.73σ	P78	P62
Net-to-Gross Ratio	39.5%	33.3%	28.5%	+0.05σ	P61	P69
Expense per Bed	$2.5M	$1.2M	933,465	+0.38σ	P84	P90
Revenue per Patient Day	70,462	7,054	5,735	+0.19σ	P98 ▲	P97 ▲
Payer Diversity Index	0.383	0.473	0.412	-0.37σ	P24	P39

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%	$75.8M	nan	+nanσ
Operating Margin	2.1%	0.2115	nan	+nanσ
Occupancy Rate	44.3%	0.1228	nan	+nanσ
Revenue Per Bed	2.6%	$3.2M	nan	+nanσ
Net To Gross Ratio	22.4%	0.3954	nan	+nanσ

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