Identifying and Allocating Resources during Out of Hospital Cardiac Arrest
Gaurav Rao, Vijay Mago, David W. Savage, Rory Beyer · 2019
In out of hospital cardiac arrest (OHCA) situations, public access to an automated external defibrillator (AED) increases patient survival when it is applied to the patient before the arrival of an emergency team. Time is of essence during an OHCA event and it is crucial to identify the nearest functional AED, and a user to transport the device to the patient in the shortest time. Determining the best combination of the user and AED for an emergency situation when there are multiple users and AEDs available becomes an issue. There are multiple factors that can change the selection of the pair; for example, the walking pace of the user, AED status, battery level of the user's phone, the AED itself, and other factors. It is important to optimize these factors so that the best user and AED combination can be identified and directed so they will take the least amount of time to reach the emergency. The new IoT AEDs being developed will have a communication ability to transmit information. A multi-objective optimization approach has been proposed in this paper to prioritize a multitude of factors dependent upon the level of importance of each factor to the OHCA situation. Each factor will be individually prioritized and then optimized so the best combination of user and AED device can reach the emergency location in minimal time.