St. Luke’s uses AI system to predict patient decline, cut cardiac arrests and ICU transfers

St. Luke’s University Health Network is using artificial intelligence across all of its hospitals to monitor patients around the clock and intervene before medical conditions worsen — an approach that has significantly reduced cardiac arrests and emergency transfers to intensive care.

All medical-surgical units at St. Luke’s employ Epic’s Deterioration Index, a proprietary AI tool that analyzes real-time data such as heart rate, blood pressure, breathing patterns, lab results, patient age and nursing documentation across the network’s 16 campuses. The system continuously calculates a patient’s risk of decline and relays that information to the St. Luke’s Virtual Response Center.

There, registered nurses monitor the AI-generated scores and alert bedside nurses, nursing supervisors or the rapid response team when a patient’s condition appears to be deteriorating…

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