Real-Time Adverse Event Predictive Model Reduces Readmissions
4:00pm - 5:00pmWednesday, February 13
Orlando - Orange County Convention Center
Sixty-three percent of the 3.3M patients readmitted to hospitals annually are avoidable. Costing $3.5 billion at approximately $5.6 million per hospital, adverse drug events (ADE) significantly contribute to readmissions and are the leading cause of preventable patient harm. In this final module of the Life Sciences Forum, explore how one health organization developed a real-time predictive algorithm that identifies hospitalized patients at high risk for an ADE, facilitates timely pharmacy-led interventions, and screens 45,000 inpatients, preventing 500 ADEs and reducing 30-day readmission rates by 4%. The innovation is easily replicable and scalable across settings.