Statistical Profile — BAYLOR SURGICAL HOSPITAL AT FORT WOR

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

Beds

$136.0M

Net Revenue

14.8%

Op Margin

28.1%

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	30	63	54	-0.57σ	P31	P30
Net Patient Revenue	$136.0M	$59.7M	$36.3M	-0.18σ	P66	P74
Operating Expenses	$115.9M	$62.7M	$37.1M	-0.23σ	P62	P72
Net Income	$20.1M	$-2.1M	-315,113	+0.23σ	P90 ▲	P84
Gross Patient Revenue	$378.1M	$186.6M	$134.7M	-0.27σ	P62	P66
Total Patient Days	3,072	12,073	10,290	-0.55σ	P23	P29
Medicare Day %	28.1%	30.9%	28.1%	-0.30σ	P43	P50
Operating Margin	14.8%	-4.8%	-0.7%	+1.06σ	P88	P81
Revenue per Bed	$4.5M	$1.2M	843,354	+1.58σ	P97 ▲	P97 ▲
Occupancy Rate	28.1%	53.7%	52.9%	-0.94σ	P22	P29
Commercial Payer %	71.9%	61.2%	69.3%	+0.62σ	P74	P55
Net-to-Gross Ratio	36.0%	33.3%	28.5%	-0.12σ	P55	P64
Expense per Bed	$3.9M	$1.2M	933,465	+0.95σ	P95 ▲	P97 ▲
Revenue per Patient Day	44,263	7,054	5,735	+0.09σ	P97 ▲	P94 ▲
Payer Diversity Index	0.404	0.473	0.412	-0.23σ	P28	P48

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%	$136.0M	nan	+nanσ
Operating Margin	2.1%	0.1476	nan	+nanσ
Occupancy Rate	44.3%	0.2805	nan	+nanσ
Revenue Per Bed	2.6%	$4.5M	nan	+nanσ
Net To Gross Ratio	22.4%	0.3596	nan	+nanσ

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