Optimizing a Drone Network to Deliver Automated External Defibrillators.

ABSTRACT:

Background

Public access defibrillation programs can improve survival after out-of-hospital cardiac arrest, but automated external defibrillators (AEDs) are rarely available for bystander use at the scene. Drones are an emerging technology that can deliver an AED to the scene of an out-of-hospital cardiac arrest for bystander use. We hypothesize that a drone network designed with the aid of a mathematical model combining both optimization and queuing can reduce the time to AED arrival.

Methods

We applied our model to 53 702 out-of-hospital cardiac arrests that occurred in the 8 regions of the Toronto Regional RescuNET between January 1, 2006, and December 31, 2014. Our primary analysis quantified the drone network size required to deliver an AED 1, 2, or 3 minutes faster tha

SUBMITTER: Boutilier JJ 

PROVIDER: S-EPMC5516537 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature