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Context-Aware Mobile Medical Emergency Management Decision Support System for Safe Transportation

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Decision Support

Part of the book series: Annals of Information Systems ((AOIS,volume 14))

Abstract

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 response that can be achieved mainly through context-aware, intelligent and cost-efficient functionality of the system. We propose a novel architecture for context-aware decision support for medical emergency management in mass gatherings that combines mobile communication technologies with pervasive computing techniques to facilitate and enable effective decision making while ensuring road safety. Our research capitalizes on smart information use and will be of great benefit to making better transportation decisions in mass gatherings emergency management. We also discuss the implementation of a mobile real time decision support tool for improving efficiency of transportation decisions.

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Acknowledgment

This research is funded by Australian Research Council funding (LP0774834 and LP0453745).

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Correspondence to Frada Burstein .

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Burstein, F., Haghighi, P.D., Zaslavsky, A. (2011). Context-Aware Mobile Medical Emergency Management Decision Support System for Safe Transportation. In: Schuff, D., Paradice, D., Burstein, F., Power, D., Sharda, R. (eds) Decision Support. Annals of Information Systems, vol 14. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6181-5_9

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