Out-of-hospital-cardiac arrest (OHCA) is a significant health issue. In Victoria, >6,500 cardiac arrests occur annually. Every minute delay to treatment is associated with a 10% decrease in survival. Accurate identification of OHCA during Triple Zero (000) calls is essential to provide patients with the highest possible chance of survival. Identification leads to provision of key system responses including call-taker CPR instructions, bystander CPR with early defibrillation, and dispatch of paramedics/first responders at the highest priority, all of which are associated with improved survival. Historically, call-takers have been unable to identify >20% of OHCA patients based on caller descriptions alone. Professor Karen Smith's team have developed a novel clinical decision support tool based on artificial intelligence and machine learning to alert call-takers of the likelihood of cardiac arrest (AIDE). In this randomised controlled trial, the Professor Karen Smith's team will determine the impact of AIDE on cardiac arrest identification in the Triple Zero (000) call to optimise health care outcomes.
Last updated12 January 2024