Statistical Profile — BAYLOR EMERGENCY MEDICAL CENTER

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

Beds

$49.6M

Net Revenue

17.2%

Op Margin

5.8%

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	40	63	54	-0.51σ	P36	P38
Net Patient Revenue	$49.6M	$59.7M	$36.3M	-0.36σ	P46	P58
Operating Expenses	$41.1M	$62.7M	$37.1M	-0.38σ	P40	P52
Net Income	$8.6M	$-2.1M	-315,113	+0.15σ	P84	P77
Gross Patient Revenue	$181.9M	$186.6M	$134.7M	-0.37σ	P50	P55
Total Patient Days	842	12,073	10,290	-0.60σ	P6 ▼	P11
Medicare Day %	22.9%	30.9%	28.1%	-0.55σ	P30	P37
Operating Margin	17.2%	-4.8%	-0.7%	+1.18σ	P91 ▲	P85
Revenue per Bed	$1.2M	$1.2M	843,354	-0.13σ	P52	P66
Occupancy Rate	5.8%	53.7%	52.9%	-1.81σ	P2 ▼	P4 ▼
Commercial Payer %	77.1%	61.2%	69.3%	+0.87σ	P83	P70
Net-to-Gross Ratio	27.3%	33.3%	28.5%	-0.54σ	P35	P48
Expense per Bed	$1.0M	$1.2M	933,465	-0.22σ	P41	P55
Revenue per Patient Day	58,944	7,054	5,735	+0.15σ	P98 ▲	P96 ▲
Payer Diversity Index	0.353	0.473	0.412	-0.58σ	P19	P31

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%	$49.6M	nan	+nanσ
Operating Margin	2.1%	0.1723	nan	+nanσ
Occupancy Rate	44.3%	0.0577	nan	+nanσ
Revenue Per Bed	2.6%	$1.2M	nan	+nanσ
Net To Gross Ratio	22.4%	0.2728	nan	+nanσ

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