A triage training system considering cooperation and proficiency of multiple trainees

Kento Izumida, Ryuga Kato, Hiroshi Shigeno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In large-scale disasters, an activity which determines the priority of treatment based on the severity of the injured person, called triage, is important. In recent years, collaboration between medical institutions and people working in disaster sites is much emphasized. However, the triage training that takes each trainee’s proficient and cooperative level into consideration has not been implemented. Based on this background, we propose a triage training system in which the expression of information changes according to the skill level of each trainee. We use beacons instead of real victims in this training. A couple of trainees actually move around to search for beacons, and cooperate to respond to each event. While scenario in the training is not changed, we will change an method of presenting the biometric information of victims according to the skill level of trainees. This enables trainees with different levels of proficiency to collaborate and perform triage exercises. We conducted experimental evaluation of this system. The results revealed the system was effective to implement triage quickly and accurately. In addition, we found the proposal was good for awareness of sharing important information in cooperative activities.

Original languageEnglish
Title of host publicationCollaboration Technologies and Social Computing - 9th International Conference, CollabTech 2017, Proceedings
PublisherSpringer Verlag
Pages68-83
Number of pages16
Volume10397 LNCS
ISBN (Print)9783319630878
DOIs
Publication statusPublished - 2017
Event9th International Conference on Collaboration Technologies and Social Computing, CollabTech 2017 - Saskatoon, Canada
Duration: 2017 Aug 82017 Aug 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10397 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Collaboration Technologies and Social Computing, CollabTech 2017
CountryCanada
CitySaskatoon
Period17/8/817/8/10

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Keywords

  • Cooperative work support
  • Training
  • Triage
  • User proficiency
  • Wearable device

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Izumida, K., Kato, R., & Shigeno, H. (2017). A triage training system considering cooperation and proficiency of multiple trainees. In Collaboration Technologies and Social Computing - 9th International Conference, CollabTech 2017, Proceedings (Vol. 10397 LNCS, pp. 68-83). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10397 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-63088-5_7