Integrating Risk Analytics in Post-Cardiac Surgery Extubation Readiness

Explore two multicenter studies examining extubation outcomes in neonates and children following congenital cardiac surgery through this 21-minute physician podcast. Delve into the integration of machine learning and risk analytics for extubation decision-making while examining extubation readiness and failure outcomes. Learn to understand the key factors influencing extubation outcomes following congenital cardiac surgery and examine how machine learning and risk analytics can be applied to neonatal and pediatric extubation decisions. Discover how machine learning technologies can improve clinical decision-making and enhance patient safety in post-cardiac surgery care. Gain insights from Dr. Daniel Hames from the University of Nebraska Medical Center and Dr. Jeffrey Burns from Boston Children's Hospital as they discuss findings from comprehensive multicenter retrospective cohort studies spanning 2017-2020. Access referenced peer-reviewed articles examining extubation failure patterns and clinical risk analytics associations in pediatric cardiac surgery patients. Benefit from this open-access educational content designed for healthcare clinicians caring for critically ill children, featuring internationally recognized experts and peer-reviewed materials available at no cost through the OPENPediatrics platform.