Real-Time Data, Predictive Analytics Can Reduce Infections
March 2, 2016 — 02:30PM - 03:30PM EST
Sands Expo Convention Center
Continuing Education Credits:
This session discusses an innovative predictive modeling application at the University of Iowa Hospitals which includes data collected in real-time during surgery and results delivered to the surgical team in the operating room to mitigate the infection risk. The key challenges and opportunities when adopting real-time predictive analytics and present project details, which reduced surgical site infections by 58% will be reviewed.
Clinical Informatics and Clinician Engagement