TY - JOUR
T1 - Optimal placement of public-access AEDs in urban environments
AU - Bonnet, Bryan
AU - Gama Dessavre, Dante
AU - Kraus, Keith
AU - Ramirez-Marquez, Jose Emmanuel
N1 - Publisher Copyright:
© 2015 Elsevier Ltd. All rights reserved.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - Use of public-access Automated External Defibrillators (AEDs) is showing promising results in decreasing collapse-to-shock times among Sudden Cardiac Arrest (SCA) patients which is associated with improved patient outcomes. Bystander access to these medical devices ensure that the necessary care to victims of SCA is provided prior to arrival of emergency responders. Prior studies have suggested methods for deploying AEDs for public use by implementing mathematical optimization based on historic incidences of SCA. The purpose of this study is to improve upon these studies by developing a novel method for generating placement plans in urban environments. The novelty of this study is: (1) the use of route-based walking time instead of straight-line approximations; (2) introduction of temporal availability in deployed devices to account for location hours-of-operation; (3) use of a multi-objective optimization to balance decision-maker objectives; and (4) the implementation of an interactive decision-maker tool for observing effects on benefits and costs. The approach is deployed and evaluated for a case study in the city of Hoboken, New Jersey. This case study is simulated with a resulting average decrease of time-to-retrieve by 98.06 s indicating an estimated 11.44-16.30% survival probability improvement using our optimization technique compared to a baseline optimization.
AB - Use of public-access Automated External Defibrillators (AEDs) is showing promising results in decreasing collapse-to-shock times among Sudden Cardiac Arrest (SCA) patients which is associated with improved patient outcomes. Bystander access to these medical devices ensure that the necessary care to victims of SCA is provided prior to arrival of emergency responders. Prior studies have suggested methods for deploying AEDs for public use by implementing mathematical optimization based on historic incidences of SCA. The purpose of this study is to improve upon these studies by developing a novel method for generating placement plans in urban environments. The novelty of this study is: (1) the use of route-based walking time instead of straight-line approximations; (2) introduction of temporal availability in deployed devices to account for location hours-of-operation; (3) use of a multi-objective optimization to balance decision-maker objectives; and (4) the implementation of an interactive decision-maker tool for observing effects on benefits and costs. The approach is deployed and evaluated for a case study in the city of Hoboken, New Jersey. This case study is simulated with a resulting average decrease of time-to-retrieve by 98.06 s indicating an estimated 11.44-16.30% survival probability improvement using our optimization technique compared to a baseline optimization.
KW - Automated External Defibrillators
KW - Data visualization
KW - Multi-objective optimization
KW - Optimal location
KW - Simulation
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UR - http://www.scopus.com/inward/citedby.url?scp=84944062351&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2015.09.012
DO - 10.1016/j.cie.2015.09.012
M3 - Article
AN - SCOPUS:84944062351
SN - 0360-8352
VL - 90
SP - 269
EP - 280
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -