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An ontology-based framework for real-time collection and visualization of mobile field triage data in mass gatherings
conference contribution
posted on 2013-01-01, 00:00 authored by P P Jayaraman, K Gunasekera, F Burstein, P Delir Haghighi, H S Soetikno, Arkady ZaslavskyArkady ZaslavskyManaging mass gathering events is a complex process. A key factor in successful management of mass gatherings is the availability of real-time data about the situation. This data is very useful in making important decisions that can potentially be life saving. In this paper, we propose an ontology-based framework for real-time collection and visualization of on field mobile triage data. The proposed framework uses a mobile device-assisted triage decision making system (iTriage). The system leverages a Service Oriented Architecture (SOA) to efficiently share and visualize triage data aiding mass gathering administrators in determining the exact state of the situation. Our framework is driven by a domain ontology for mass gathering ensuring consistency in the shared data. We demonstrate a prototype implementation of the iTriage system on android-based mobile devices. Our experimental evaluations validate the iTriage system's ability to accurately compute patient priorities based on the triage sieve algorithm. Further, we demonstrate the capability of the proposed framework to visualize triage data on a map in real time.
History
Event
IEEE Computer Society. Conference (46th : 2013 : Wailea, Maui, HI)Series
IEEE Computer Society ConferencePagination
146 - 155Publisher
Institute of Electrical and Electronics EngineersLocation
Wailea, Maui, HIPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2013-01-07End date
2013-01-10ISSN
1530-1605ISBN-13
9780769548920Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2012, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
HICSS 2013 : Proceedings of the 2013 46th Hawaii International Conference on System SciencesUsage metrics
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