Improving emergency response to mass casualty incidents

Marcus Lucas Da Silvas; Vassilis Kostakos; Mitsuji Matsumoto

doi:10.1109/PERCOM.2008.71

Improving emergency response to mass casualty incidents

Marcus Lucas Da Silvas, Vassilis Kostakos, Mitsuji Matsumoto

Waseda University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Mass casualty incidents generate a sequence of response events from the emergency services, requiring the allocation and use of resources in a timely fashion. In this paper we describe a pervasive system that helps emergency services optimize their efficiency and coordination. The system emulates a multiple casualty emergency response environment in which contextual information, retrieved from victims' wearable or mobile devices, guides early assessments on the health condition of the affected population. Additionally, we analyze the behavior of our system under different conditions and derive the necessary parameters for achieving accurate estimations. Our main contribution is the enhancement of the existing emergency response process for mass casualty incidents through the use of Pervasive Computing technology.

Original language	English
Title of host publication	6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
Pages	256-259
Number of pages	4
DOIs	https://doi.org/10.1109/PERCOM.2008.71
Publication status	Published - 2008
Event	6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008 - Hong Kong Duration: 2008 Mar 17 → 2008 Mar 21

Other

Other	6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
City	Hong Kong
Period	08/3/17 → 08/3/21

ASJC Scopus subject areas

Computer Networks and Communications
Communication

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10.1109/PERCOM.2008.71

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Da Silvas, ML, Kostakos, V & Matsumoto, M 2008, Improving emergency response to mass casualty incidents. in 6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008., 4517403, pp. 256-259, 6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008, Hong Kong, 08/3/17. https://doi.org/10.1109/PERCOM.2008.71

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abstract = "Mass casualty incidents generate a sequence of response events from the emergency services, requiring the allocation and use of resources in a timely fashion. In this paper we describe a pervasive system that helps emergency services optimize their efficiency and coordination. The system emulates a multiple casualty emergency response environment in which contextual information, retrieved from victims' wearable or mobile devices, guides early assessments on the health condition of the affected population. Additionally, we analyze the behavior of our system under different conditions and derive the necessary parameters for achieving accurate estimations. Our main contribution is the enhancement of the existing emergency response process for mass casualty incidents through the use of Pervasive Computing technology.",

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AB - Mass casualty incidents generate a sequence of response events from the emergency services, requiring the allocation and use of resources in a timely fashion. In this paper we describe a pervasive system that helps emergency services optimize their efficiency and coordination. The system emulates a multiple casualty emergency response environment in which contextual information, retrieved from victims' wearable or mobile devices, guides early assessments on the health condition of the affected population. Additionally, we analyze the behavior of our system under different conditions and derive the necessary parameters for achieving accurate estimations. Our main contribution is the enhancement of the existing emergency response process for mass casualty incidents through the use of Pervasive Computing technology.

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ER -

Improving emergency response to mass casualty incidents

Abstract

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ASJC Scopus subject areas

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