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Comparison of Unmanned Aerial Vehicle Technology Versus Standard Practice in Identification of Hazards at a Mass Casualty Incident Scenario by Primary Care Paramedic Students

  • Trevor Jain (a1), Aaron Sibley (a1), Henrik Stryhn (a2) and Ives Hubloue (a3)
Abstract
Introduction

The proliferation of unmanned aerial vehicles (UAV) has the potential to change the situational awareness of incident commanders allowing greater scene safety. The aim of this study was to compare UAV technology to standard practice (SP) in hazard identification during a simulated multi-vehicle motor collision (MVC) in terms of time to identification, accuracy and the order of hazard identification.

Methods

A prospective observational cohort study was conducted with 21 students randomized into UAV or SP group, based on a MVC with 7 hazards. The UAV group remained at the UAV ground station while the SP group approached the scene. After identifying hazards the time and order was recorded.

Results

The mean time (SD, range) to identify the hazards were 3 minutes 41 seconds (1 minute 37 seconds, 1 minute 48 seconds-6 minutes 51 seconds) and 2 minutes 43 seconds (55 seconds, 1 minute 43 seconds-4 minutes 38 seconds) in UAV and SP groups corresponding to a mean difference of 58 seconds (P=0.11). A non-parametric permutation test showed a significant (P=0.04) difference in identification order.

Conclusion

Both groups had 100% accuracy in hazard identification with no statistical difference in time for hazard identification. A difference was found in the identification order of hazards. (Disaster Med Public Health Preparedness. 2018;12:631–634)

Copyright
Corresponding author
Correspondence and reprint requests to Trevor Jain, Division of Paramedicine, University of Prince Edward Island, Duffy Science Centre #430, 550 University Ave, Charlottetown, PE, Canada C1A 4P3 (e-mail: Tjain@upei.ca).
References
Hide All
1. Abrahamsen, HB. A remotely piloted aircraft system in major incident management: concept and pilot, feasibility study. BMC Emerg Med. 2015;15(1):12.
2. Lichtman, A, Nair, M. Humanitarian uses of drones and satellite imagery analysis: the promises and perils. AMA J Ethics. 2015;17(10):931.
3. Leduc, TJ. Drones for EMS: 5 ways to use a UAV today. www.EMS1.com/technology/articles/40860048-Drones-for-EMS-5-ways-to-use-a-uav-today/. Published 2015. Accessed February 24, 2017.
4. Mardell, J, Witkowski, M, Spence, R. A comparison of image inspection modes for a visual search and rescue task. Behav Inform Technol. 2014;33(9):905-918.
5. Castle Rock Fire and Rescue Department, South Metro Firerescue authority plan to sue UAV’s this fall. www.emsteam.org/drones. Accessed February 24, 2017.
6. The Cobber, William Carey University. Medical college develops fully equipped telemedical drone. J Emerg Med Serv.
7. Wen, T, Zhang, Z, Wong, KK. Multi-objective algorithm for blood supply via unmanned aerial vehicles to the wounded in an emergency situation. PloS One. 2016;11(5):e0155176.
8. Boccardo, P, Chiabrando, F, Dutto, F, Tonolo, FG, Lingua, A. UAV deployment exercise for mapping purposes: evaluation of emergency response applications. Sensors. 2015;15(7):15717-15737.
9. Thiels, CA, Aho, JM, Zietlow, SP, Jenkins, DH. Use of unmanned aerial vehicles for medical product transport. Air Med J. 2015;34(2):104-108.
10. Fornace, KM, Drakeley, CJ, William, T, Espino, F, Cox, J. Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology. Trends Parasitol. 2014;30(11):514-519.
11. Pulver, A, Wei, R, Mann, C. Locating AED enabled medical drones to enhance cardiac arrest response times. Prehosp Emerg Care. 2016;20(3):378-389.
12. Kurvinen, K, Smolander, P, Pöllänen, R, Kuukankorpi, S, Kettunen, M, Lyytinen, J. Design of a radiation surveillance unit for an unmanned aerial vehicle. J Environ Radioact. 2005;81(1):1-10.
13. Wesson, K, Humphreys, T. Hacking drones. Sci Am. 2013;309(5):54-59.
14. How drones can provide eyes in the sky for EMS; 2013. www.ems1.com. Accessed February 24, 2017.
15. Rodriguez, PA, Geckle, WJ, Barton, JD, et al. An emergency response UAV surveillance system. In: AMIA Annual Symposium Proceedings 2006, Vol. 2006. 2006: American Medical Informatics Association:1078.
16. Cook, Z, Zhao, L, Lee, J, Yim, W. Unmanned aerial system for first responders. In: Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference, 2005: IEEE:306-310.
17. Claesson, A, Fredman, D, Svensson, L, et al. Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest. Scand J Trauma, Resuscitation Emerg Med. 2016;24(1):124.
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Disaster Medicine and Public Health Preparedness
  • ISSN: 1935-7893
  • EISSN: 1938-744X
  • URL: /core/journals/disaster-medicine-and-public-health-preparedness
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