The Hospital of the University of Pennsylvania implements AI malnutrition screening with HealthLeap

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88% higher sensitivity

Than the nurse-administered malnutrition screening

4 days earlier identification

Of patients with malnutrition

AUROC of 95%

During patient stay; AUROC of 91% on the first day

Read the full validation study
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Hospital of the University of Pennsylvania

"A hepatology patient with an extended hospital stay was identified exclusively by HealthLeap on hospital day 10, never flagged by traditional screening tools. The RD team
diagnosed severe malnutrition, capturing both a Vizient quality impact and a malnutrition MCC. Without HealthLeap, this patient would have been missed entirely."

Registered Dietitian

Hospital of the University of Pennsylvania

+27%

MCC Increase vs. prior year

4,812

Observed Bed-Days Saved Annually

A closeup photo of a hospital patient's hand with an IV connected