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http://dx.doi.org/10.15683/kosdi.2018.03.31.28

Research of IoT concept implemented severity classification system  

Kim, Seungyong (Department of Management Information System, Korea National University of Transportation)
Kim, Gyeongyong (YangPyeong Fire Station)
Hwang, Incheol (Secuware Co., Ltd.)
Kim, Dongsik (KCC Corporation)
Publication Information
Journal of the Society of Disaster Information / v.14, no.1, 2018 , pp. 28-35 More about this Journal
Abstract
The following research has focused and implemented on designing a system that classifies the severity of mass casualty situations across both normal and disaster levels. The system's algorithm has implemented requirements such as accuracy as well as user convenience. The developed e-Triage System has applied various severity classification algorithms implemented from IoT concepts. In order to overcome flaws of currently used severity classification systems, the e-Triage System used electronic elements including the NFC module. By using the mobile application's severity classification algorithm the system demonstrated quick and accurate assessment of patient. Four different LED lamps visualized the severity classification results and RTS scores were portrayed through FND(Flexible Numeric Display) after a two wave classification.
Keywords
IoT; Triage; Network; MCIM;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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