Abstract
In-Vehicle Navigation Network Algorithm for Improving Sudden Cardiac Arrest (SCA) Emergency Response Track: EMS/Fire Author(s): Ian Fitzgerald, GISP For years, government studies have voiced concerns over the inability of medical services to respond to primary emergencies. Survivability studies show most victims of SCA, or critical medical emergencies, have minimal survival rates after eight minutes, times many medical services are not meeting. Policy makers are convinced that only improvements in technology can reduce response times enough to make a difference. Most research has been focused upon resource allocation models. Navigation patterns predicted by these allocation models are not, however, being executed in the field by way of in-vehicle navigation. Without simulation of these algorithms within in-vehicle navigation systems, medical response services will continue to be unable to achieve government standards. A mathematical algorithm was developed which consistently determined routes for single and multiple vehicles, displaying accurate drive times. If used within the vehicle, medical responses to sudden cardiac arrest victims would improve, as well as ensuring vehicle paths would be known to dispatchers. Ian Fitzgerald, GISP Truckee Donner Public Utility District GIS PO Box 309 Truckee , CA 96160 US Phone: 530-582-3952 E-mail: IanFitzgerald@tdpud.org |
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