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Comparison of Unmanned Aerial Vehicle Technology-Assisted Triage versus Standard Practice in Triaging Casualties by Paramedic Students in a Mass-Casualty Incident Scenario

Published online by Cambridge University Press:  13 July 2018

Trevor Jain ,
Aaron Sibley ,
Henrik Stryhn  and
Ives Hubloue
Trevor Jain*
Affiliation:
Division of Paramedicine, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada
Aaron Sibley
Affiliation:
Division of Paramedicine, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada
Henrik Stryhn
Affiliation:
Department of Health Management, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada
Ives Hubloue
Affiliation:
Department of Emergency Medicine, Universitair Ziekenhuis Brussel, Research Group in Emergency and Disaster Medicine, Vrije Universiteit Brussel, Jette, Belgium
*
Correspondence: Trevor Jain, OMM, MSM, CD, MD, MSc University of Prince Edward Island Division of Paramedicine Duffy Science Centre #430 550 University Ave Charlottetown, Prince Edward Island, C1A 4P3 Canada E-mail: [email protected]
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Abstract

Introduction

The proliferation of unmanned aerial vehicle (UAV) technology has the potential to change the way medical incident commanders (ICs) respond to mass-casualty incidents (MCIs) in triaging victims. The aim of this study was to compare UAV technology to standard practice (SP) in triaging casualties at an MCI.

Methods

A randomized comparison study was conducted with 40 paramedic students from the Holland College Paramedicine Program (Charlottetown, Prince Edward Island, Canada). Using a simulated motor vehicle collision (MVC) with moulaged casualties, iterations of 20 students were used for both a day and a night trial. Students were randomized to a UAV or a SP group. After a brief narrative, participants either entered the study environment or used UAV technology where total time to triage completion, GREEN casualty evacuation, time on scene, triage order, and accuracy were recorded.

Results

A statistical difference in the time to completion of 3.63 minutes (95% CI, 2.45 min-4.85 min; P=.002) during the day iteration and a difference of 3.49 minutes (95% CI, 2.08 min-6.06 min; P=.002) for the night trial with UAV groups was noted. There was no difference found in time to GREEN casualty evacuation, time on scene, or triage order. One-hundred-percent accuracy was noted between both groups.

Conclusion:

This study demonstrated the feasibility of using a UAV at an MCI. A non-clinical significant difference was noted in total time to completion between both groups. There was no increase in time on scene by using the UAV while demonstrating the feasibility of remotely triaging GREEN casualties prior to first responder arrival.

Jain T, Sibley A, Stryhn H, Hubloue I.Comparison of unmanned aerial vehicle technologyassisted triage versus standard practice in triaging casualties by paramedic students in a mass-casualty incident scenario. Prehosp Disaster Med. 2018;33(4):375–380

Keywords

disaster medicineEMSMCItechnologyUAV
Type
Original Research
Information
Prehospital and Disaster Medicine , Volume 33 , Issue 4 , August 2018 , pp. 375 - 380
Copyright
© World Association for Disaster and Emergency Medicine 2018 

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Footnotes

Conflicts of interest/funding: This work was completed using funding from the Research Arm of the Holland College Paramedicine Program (Charlottetown, Prince Edward Island, Canada). No conflicts of interest are declared.

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