Simulation for the assessment and optimization of medical disaster management

Filip Van Utterbeeck; Christophe Ullrich; Erwin Dhondt; Michel Debacker

Simulation for the assessment and optimization of medical disaster management

Filip Van Utterbeeck, Christophe Ullrich, Erwin Dhondt, Michel Debacker

Simulation, Modelling and Analysis of Complex Systems

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

Abstract

Medical disaster management must be able to make the transition from "stan-dard of care" to "suffciency of care" in evidence based ways. Medical disaster management research tries to identify methodologies and rules of best practice and evaluates performance and outcome indicators for medical disaster management. However, experimental studies are either impossible or ethically inappropriate. The aim of the SIMEDIS project is the develoment of a simulation model so that the "medical disaster management simulator" can reproduce the missing experimental studies.

Original language	Undefined/Unknown
Title of host publication	Proceedings of ORBEL 25, Feb 10-11, Ghent, Belgium.
Editors	Sabine Wittevrongel, El-Houssaine Aghezzaf
Place of Publication	Gent
Pages	132-133
Number of pages	2
Publication status	Published - 2011

Cite this

@inproceedings{d802b4c5b1414ab8a192076c04873a2d,

title = "Simulation for the assessment and optimization of medical disaster management",

abstract = "Medical disaster management must be able to make the transition from {"}stan-dard of care{"} to {"}suffciency of care{"} in evidence based ways. Medical disaster management research tries to identify methodologies and rules of best practice and evaluates performance and outcome indicators for medical disaster management. However, experimental studies are either impossible or ethically inappropriate. The aim of the SIMEDIS project is the develoment of a simulation model so that the {"}medical disaster management simulator{"} can reproduce the missing experimental studies.",

keywords = "discrete event simulation, health care, medical disaster management",

author = "{Van Utterbeeck}, Filip and Christophe Ullrich and Erwin Dhondt and Michel Debacker",

year = "2011",

language = "Ongedefinieerd/onbekend",

pages = "132--133",

editor = "Sabine Wittevrongel and El-Houssaine Aghezzaf",

booktitle = "Proceedings of ORBEL 25, Feb 10-11, Ghent, Belgium.",

}

Simulation for the assessment and optimization of medical disaster management. / Van Utterbeeck, Filip; Ullrich, Christophe; Dhondt, Erwin et al.
Proceedings of ORBEL 25, Feb 10-11, Ghent, Belgium.. ed. / Sabine Wittevrongel; El-Houssaine Aghezzaf. Gent, 2011. p. 132-133.

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

TY - GEN

T1 - Simulation for the assessment and optimization of medical disaster management

AU - Van Utterbeeck, Filip

AU - Ullrich, Christophe

AU - Dhondt, Erwin

AU - Debacker, Michel

PY - 2011

Y1 - 2011

N2 - Medical disaster management must be able to make the transition from "stan-dard of care" to "suffciency of care" in evidence based ways. Medical disaster management research tries to identify methodologies and rules of best practice and evaluates performance and outcome indicators for medical disaster management. However, experimental studies are either impossible or ethically inappropriate. The aim of the SIMEDIS project is the develoment of a simulation model so that the "medical disaster management simulator" can reproduce the missing experimental studies.

AB - Medical disaster management must be able to make the transition from "stan-dard of care" to "suffciency of care" in evidence based ways. Medical disaster management research tries to identify methodologies and rules of best practice and evaluates performance and outcome indicators for medical disaster management. However, experimental studies are either impossible or ethically inappropriate. The aim of the SIMEDIS project is the develoment of a simulation model so that the "medical disaster management simulator" can reproduce the missing experimental studies.

KW - discrete event simulation

KW - health care

KW - medical disaster management

M3 - Conferentiebijdrage

SP - 132

EP - 133

BT - Proceedings of ORBEL 25, Feb 10-11, Ghent, Belgium.

A2 - Wittevrongel, Sabine

A2 - Aghezzaf, El-Houssaine

CY - Gent

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