Abstract
In crisis, decisions must be made in human perceptual timeframes under pressure to respond to dynamic uncertain conditions. To be effective management must have access to real time environmental data in a form that can be immediately understood and acted upon. The emerging computing model of Dynamic Data-Driven Application Systems (DDDAS) fits well in crisis situations where rapid decision-making is essential. We explore the value of a DDDAS (iRevive) in support of emergency medical treatment decisions in response to a crisis. This complex multi-layered dynamic environment both feeds and responds to an ever-changing stream of real-time data that enables coordinated decision-making by heterogeneous personnel across a wide geography at the same time. This complex multi-layered dynamic environment both feeds and responds to an ever-changing stream of real-time data that enables coordinated decision-making by heterogeneous personnel across a wide geography at the same time.
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Keywords
- Decision Support System
- Emergency Medical Service
- Situational Awareness
- Command Center
- Mass Casualty Event
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© 2005 Springer-Verlag Berlin Heidelberg
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Gaynor, M., Seltzer, M., Moulton, S., Freedman, J. (2005). A Dynamic, Data-Driven, Decision Support System for Emergency Medical Services. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J.J. (eds) Computational Science – ICCS 2005. ICCS 2005. Lecture Notes in Computer Science, vol 3515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428848_91
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DOI: https://doi.org/10.1007/11428848_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26043-1
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