Statistical Profile — ST. LUKES EAST - LEES SUMMIT

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

216

Beds

$318.1M

Net Revenue

-5.8%

Op Margin

79.3%

Occupancy

Outlier Flags

Statistical Profile — All Variables

Each metric compared to national (n=6,123) and MO (n=138) peers. Z-score shows standard deviations from national mean.

Metric	Hospital	Nat'l Median	MO Median	Z-Score	Nat'l %ile	State %ile
Beds	216	63	60	+0.45σ	P81	P77
Net Patient Revenue	$318.1M	$59.7M	$64.4M	+0.21σ	P81	P81
Operating Expenses	$336.6M	$62.7M	$68.5M	+0.23σ	P82	P82
Net Income	$-18.5M	$-2.1M	$-1.9M	-0.04σ	P20	P19
Gross Patient Revenue	$1.85B	$186.6M	$182.7M	+0.51σ	P86	P85
Total Patient Days	62,516	12,073	12,943	+0.60σ	P85	P82
Medicare Day %	31.6%	30.9%	30.6%	-0.12σ	P52	P54
Medicaid Day %	4.5%	5.1%	7.7%	-0.39σ	P46	P25
Operating Margin	-5.8%	-4.8%	-6.2%	+0.03σ	P47	P51
Revenue per Bed	$1.5M	$1.2M	$1.2M	-0.01σ	P61	P65
Occupancy Rate	79.3%	53.7%	50.1%	+1.08σ	P85	P86
Commercial Payer %	63.9%	61.2%	59.9%	+0.23σ	P56	P62
Net-to-Gross Ratio	17.2%	33.3%	33.2%	-1.02σ	P13	P4 ▼
Expense per Bed	$1.6M	$1.2M	$1.2M	-0.00σ	P62	P64
Revenue per Patient Day	5,089	7,054	7,649	-0.06σ	P33	P28
Payer Diversity Index	0.490	0.473	0.518	+0.37σ	P58	P40

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%	$318.1M	$502.5M	-0.72σ
Operating Margin	2.1%	-0.0580	-0.0351	-0.12σ
Occupancy Rate	44.3%	0.7929	0.6656	+0.70σ
Revenue Per Bed	2.6%	$1.5M	$1.9M	-0.21σ
Net To Gross Ratio	22.4%	0.1720	0.3222	-0.87σ

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