Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents

Florentina Hager; Melanie Reuter - Oppermann; Tim Müller; Sadeeb Ottenburger

Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents

Florentina Hager, Melanie Reuter - Oppermann, Tim Müller, Sadeeb Ottenburger

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In case of a mass-casualty incident, e.g. due to a disaster, a high number of patients need medical care within a short time frame and often, a significant percentage must be transported to a hospital or another suitable care facility.
Then, different mass transportation modes (e.g., busses, ships or trains) may be used to quickly transport patients to available medical treatment centres outside of the disaster area. Within the SimPaTrans project, we develop a simulation-based decision support system for locating, sizing and analysing different modes of transport in order to prepare for mass-casualty incidents in Germany. In this paper, we present the outline of the tool as well as a first optimisation use case for transportation patients within the city of Karlsruhe, Germany.

Original language	English
Title of host publication	Proceedings of the 20th International ISCRAM Conference
Pages	565-574
Publication status	Published - 2023
Externally published	Yes
Event	20th Annual Global Conference on Information Systems for Crisis Response and Management, ISCRAM 2023 - Omaha, United States Duration: 28 May 2023 → 31 May 2023 Conference number: 20

Conference

Conference	20th Annual Global Conference on Information Systems for Crisis Response and Management, ISCRAM 2023
Abbreviated title	ISCRAM 2023
Country/Territory	United States
City	Omaha
Period	28/05/23 → 31/05/23

Keywords

Mass-casualty incidents
simulation
multicriteria decision making

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2547_Hager_etal2023Final published version, 417 KB

Cite this

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title = "Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents",

abstract = "In case of a mass-casualty incident, e.g. due to a disaster, a high number of patients need medical care within a short time frame and often, a significant percentage must be transported to a hospital or another suitable care facility.Then, different mass transportation modes (e.g., busses, ships or trains) may be used to quickly transport patients to available medical treatment centres outside of the disaster area. Within the SimPaTrans project, we develop a simulation-based decision support system for locating, sizing and analysing different modes of transport in order to prepare for mass-casualty incidents in Germany. In this paper, we present the outline of the tool as well as a first optimisation use case for transportation patients within the city of Karlsruhe, Germany.",

keywords = "Mass-casualty incidents, simulation, multicriteria decision making",

author = "Florentina Hager and {Reuter - Oppermann}, Melanie and Tim M{\"u}ller and Sadeeb Ottenburger",

year = "2023",

language = "English",

pages = "565--574",

booktitle = "Proceedings of the 20th International ISCRAM Conference",

note = "20th Annual Global Conference on Information Systems for Crisis Response and Management, ISCRAM 2023, ISCRAM 2023 ; Conference date: 28-05-2023 Through 31-05-2023",

}

Hager, F, Reuter - Oppermann, M, Müller, T & Ottenburger, S 2023, Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents. in Proceedings of the 20th International ISCRAM Conference. pp. 565-574, 20th Annual Global Conference on Information Systems for Crisis Response and Management, ISCRAM 2023, Omaha, Nebraska, United States, 28/05/23.

TY - GEN

T1 - Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents

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AU - Reuter - Oppermann, Melanie

AU - Müller, Tim

AU - Ottenburger, Sadeeb

N1 - Conference code: 20

PY - 2023

Y1 - 2023

N2 - In case of a mass-casualty incident, e.g. due to a disaster, a high number of patients need medical care within a short time frame and often, a significant percentage must be transported to a hospital or another suitable care facility.Then, different mass transportation modes (e.g., busses, ships or trains) may be used to quickly transport patients to available medical treatment centres outside of the disaster area. Within the SimPaTrans project, we develop a simulation-based decision support system for locating, sizing and analysing different modes of transport in order to prepare for mass-casualty incidents in Germany. In this paper, we present the outline of the tool as well as a first optimisation use case for transportation patients within the city of Karlsruhe, Germany.

AB - In case of a mass-casualty incident, e.g. due to a disaster, a high number of patients need medical care within a short time frame and often, a significant percentage must be transported to a hospital or another suitable care facility.Then, different mass transportation modes (e.g., busses, ships or trains) may be used to quickly transport patients to available medical treatment centres outside of the disaster area. Within the SimPaTrans project, we develop a simulation-based decision support system for locating, sizing and analysing different modes of transport in order to prepare for mass-casualty incidents in Germany. In this paper, we present the outline of the tool as well as a first optimisation use case for transportation patients within the city of Karlsruhe, Germany.

KW - Mass-casualty incidents

KW - simulation

KW - multicriteria decision making

M3 - Conference contribution

SP - 565

EP - 574

BT - Proceedings of the 20th International ISCRAM Conference

T2 - 20th Annual Global Conference on Information Systems for Crisis Response and Management, ISCRAM 2023

Y2 - 28 May 2023 through 31 May 2023

ER -

Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents

Abstract

Conference

Keywords

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