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TRISim: A Triage Simulation System to Exploit and Assess Triage Operations for Hospital Managers - Development, Validation and Experiment

A. Koba yashi1, K. Suginuma2, M. Furui chi1

1 Graduate School of Industrial Technology, Nihon University.
2 College of Industrial Technology, Nihon University.

Computer Modeling in Engineering & Sciences 2017, 113(2), 117-149. https://doi.org/10.3970/cmes.2017.113.121

Abstract

Triage is a method for determining the priority of patients’ treatment to improve survival rates. Different triage methods are used in hospitals, and they are applied after performing an evaluation based on standard methods such as the Japan Triage Acuity Scale (JTAS) or Emergency Severity Index (ESI). It is important to consider the characteristics of all the hospitals when assigning triage methods and emergency levels to them; the hospital managers make these decisions. We propose a multi-agent simulation method to support the hospital managers in employing the triage protocols according to their environment. We developed a prototype simulation system called TRISim to explore and assess the triage operations. In this paper, we provide an overview of TRISim and present our experimental results to validate the system.

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APA Style
yashi, A.K., Suginuma, K., chi, M.F. (2017). Trisim: A triage simulation system to exploit and assess triage operations for hospital managers - development, validation and experiment. Computer Modeling in Engineering & Sciences, 113(2), 117-149. https://doi.org/10.3970/cmes.2017.113.121
Vancouver Style
yashi AK, Suginuma K, chi MF. Trisim: A triage simulation system to exploit and assess triage operations for hospital managers - development, validation and experiment. Comput Model Eng Sci. 2017;113(2):117-149 https://doi.org/10.3970/cmes.2017.113.121
IEEE Style
A.K. yashi, K. Suginuma, and M.F. chi, “TRISim: A Triage Simulation System to Exploit and Assess Triage Operations for Hospital Managers - Development, Validation and Experiment,” Comput. Model. Eng. Sci., vol. 113, no. 2, pp. 117-149, 2017. https://doi.org/10.3970/cmes.2017.113.121



cc Copyright © 2017 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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