In-Hospital Cardiac Arrests
Predictive QI Algorithms for In-Hospital Arrests
About 60% of all in-hospital cardiac arrests are preventable. New predictive algorithms have been developed that, when implemented hospital-wide, reduce in-hospital cardiac arrest rates and save hospital resources. Other new algorithms focus on multiple time-sensitive emergencies, including cardiac arrest, heart attack, stroke, trauma and sepsis. This approach can be used to improve in-hospital quality of care, reduce in-hospital mortality rate and save hospital resources.