What You Should KnowA multi-hospital, 23,132-patient study led by RWJBarnabas Health and Rutgers Robert Wood Johnson Medical School (DOI: 10.1056/AIoa2500973) evaluated an enterprise rollout of the Epic Deterioration Index (EDI). Rather than relying solely on passive EHR dashboards, high-risk “red alerts” triggered automated, immediate push notifications to mobile devices carried by hospital Rapid Response Teams (RRTs). While hundreds of machine learning early warning systems (EWSs) have been retrospectively validated to predict patient deterioration, real-world prospective studies demonstrating reduced in-hospital mortality remain exceptionally rare. To bridge algorithmic prediction with immediate clinical action, researchers at RWJBarnabas Health and Rutgers Robert Wood Johnson Medical School executed a multi-year, systemwide implementation of the Epic Deterioration Index (EDI) across 11 hospitals. Published in NEJM AI, their 23,132-patient study proved that pairing real-time EHR predictive scoring with automated Rapid Response Team (RRT) mobile push notifications drove an 18% reduction in risk-adjusted in-hospital mortality.