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Context-aware mobile medical emergency management decision support system for safe transportation
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Monash University, Melbourne, VIC.
2009 (English)In: 2009 International Conference on DSS: Reflecting on Yesterday, Assessing Today, Envisioning Tomorrow, 2009Conference paper, Meeting abstract (Other academic)
Abstract [en]

Management of safe and successful large-scale events requires detailed careful planning and complex system-wide decision making . However, research into medical emergency knowledge management for just-in-time decision support in mass gatherings lags behind the needs of the community. Unforeseen circumstances, dynamic changes in the environment, various unexpected impact factors require immediate real-time adequate response that can be achieved mainly through context-aware, intelligent and cost-efficient functionality of the systemContext-awareness relates to building an appropriate and relevant model of the surrounding environment (Zaslavsky, 2002). Road system, traffic accidents, congestion, knowledge of individual vehicles, as well as emergency vehicles are all important part of such a model. Context includes information about road infrastructure, data gathered from sensor networks, and other sources of context.We propose to combine mobile communication technologies with pervasive computing techniques which will facilitate and enable effective context-aware decision support for medical emergency management in mass gatherings while ensuring road safety. For example, some intelligent transportation systems can be added to the underlying infrastructure for timecritical decision making in emergency situations. We aim to develop and test a prototype mobile decision support system for improving transportation safety during medical emergency in mass gatherings. The prototype will utilise the medical emergency management ontology, which was developed based on extensive review of the relevant literature and with consultation with industry (Sujanto, et al, 2007).We will report on the project, which capitalizes on smart information use and will be of great benefit to making better transportation decisions in mass gatherings emergency management. This research will result in gaining a clearer understanding of the nature and requirements of road safety in medical emergency during mass gathering events. We propose to build and test a mobile real time decision support tool for improving efficiency of transportation decisions. Such tools will strengthen ability to manage potential health- related hazards in real-time and on the move.ReferencesSujanto, F., Ceglowski, A., Burstein, F., and Churilov, L. (2008). 'An integrated framework for comprehensive collaborative emergency management'. In P. Zarate, J. P. Belaud, G. Camilleri & F. Ravat (Eds.), Collaborative Decision Making: Perspectives and Challenges (pp. 127-138). Amsterdam, Netherlands: IOS Press.Zaslavsky A (2002) Adaptability and Interfaces: Key to Efficient Pervasive Computing, NSF Workshop series on Context-Aware Mobile Database Management, Brown University, Providence, 24-25 Jan, 2002

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Mobile and Pervasive Computing
URN: urn:nbn:se:ltu:diva-35594Local ID: a2dba6b0-e4d3-11de-bae5-000ea68e967bOAI: diva2:1008847
International Conference on DSS, “Reflecting on Yesterday, Assessing Today, Envisioning Tomorrow” : 05/08/2009 - 06/08/2009
Godkänd; 2009; 20091209 (arkady)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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