AI to Improve Data From Danish Cardiac Arrest Registry

Out-of-hospital cardiac arrest is a leading cause of death worldwide and patient outcome vary substantially throughout regions suggesting further evaluation and potential for improvement.When focussing on subgroups of OHCA, data in certain areas remains scarce and the need of revised guidelines is evident. Furthermore, enhanced knowledge on these varieties of OHCA's apply to substantial number of patients, also among vulnerable populations. The Danish Emergency Medical System introduced a nationwide registry of electronic medical reports in 2016. This report system allows electronic searches and thereby the opportunity to identify subgroups of OHCA's. Thus, this novel reporting enables the evaluation of new characteristics of cardiac arrests of non-cardiac origin, in cases where an automated external defibrillator (AED) is retrieved but did not recommend defibrillation and finally in OHCA related to foreign body obstruction. With the advantages of artificial intelligence, this project will enhance and strengthen data from the Danish Cardiac Arrest Registry. It may substitute the manual validation of the around 9000 cases per year in Denmark. Further, it proposes improvement of quality and development of observational health research.