Statistical Profile — MISSION HOSPITAL REG MEDICAL CENTER

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

406

Beds

$690.3M

Net Revenue

-15.9%

Op Margin

48.8%

Occupancy

Outlier Flags

Statistical Profile — All Variables

Each metric compared to national (n=6,123) and CA (n=414) peers. Z-score shows standard deviations from national mean.

Metric	Hospital	Nat'l Median	CA Median	Z-Score	Nat'l %ile	State %ile
Beds	406	63	138	+1.49σ	P93 ▲	P92 ▲
Net Patient Revenue	$690.3M	$59.7M	$176.7M	+1.01σ	P93 ▲	P85
Operating Expenses	$800.4M	$62.7M	$191.8M	+1.18σ	P94 ▲	P88
Net Income	$-110.1M	$-2.1M	$-5.0M	-0.68σ	P4 ▼	P9 ▼
Gross Patient Revenue	$3.22B	$186.6M	$829.1M	+1.23σ	P93 ▲	P85
Total Patient Days	72,280	12,073	27,749	+0.79σ	P88	P81
Medicare Day %	29.4%	30.9%	25.9%	-0.23σ	P46	P56
Operating Margin	-15.9%	-4.8%	-4.9%	-0.47σ	P26	P28
Revenue per Bed	$1.7M	$1.2M	$1.5M	+0.11σ	P69	P53
Occupancy Rate	48.8%	53.7%	59.4%	-0.12σ	P44	P32
Commercial Payer %	70.6%	61.2%	64.7%	+0.56σ	P71	P65
Net-to-Gross Ratio	21.4%	33.3%	25.8%	-0.82σ	P21	P33
Expense per Bed	$2.0M	$1.2M	$1.7M	+0.17σ	P75	P55
Revenue per Patient Day	9,550	7,054	7,799	-0.04σ	P64	P59
Payer Diversity Index	0.415	0.473	0.468	-0.15σ	P31	P30

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%	$690.3M	nan	+nanσ
Operating Margin	2.1%	-0.1594	nan	+nanσ
Occupancy Rate	44.3%	0.4878	nan	+nanσ
Revenue Per Bed	2.6%	$1.7M	nan	+nanσ
Net To Gross Ratio	22.4%	0.2142	nan	+nanσ

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