Researchers from RWJBarnabas Health and Rutgers Robert Wood Johnson Medical School found that an artificial intelligence (AI)-enabled early warning system helped identify hospitalized patients at risk of rapid clinical decline sooner, contributing to fewer deaths among high-risk patients.
Published in NEJM AI, the study evaluated outcomes among 23,132 high-risk patients across 11 RWJBarnabas Health hospitals.
Deaths among high-risk patients fell from 23.1% to 18.6% following implementation of the AI-enabled early warning system, representing an 18% reduction in the risk-adjusted odds of in-hospital death.
When patients reached the highest-risk threshold, automated notifications were sent directly to hospital rapid response teams, enabling critical care specialists to quickly assess patients and determine whether additional interventions were needed.
Following implementation, rapid response team activations among high-risk patients increased from 25.3% of hospital stays to 37.5%.
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