Using clinical data from more than 200 hospital intensive care units, Philips Healthcare has shown that three ICU risk scores—designed for different purposes—performed well as a marker of severity of illness at admission and throughout the ICU stay. The analysis of de-identified data from more than 560,000 ICU patient stays contributed by 333 ICUs, covering almost 39 million patient-hours of ICU care, reveal that it is possible for risk models to perform well even when deployed for uses other than what they were originally intended.

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