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Improved system design of an emergency department through simulation-based multiobjective-optimization
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-4604-6429
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-4180-6003
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-5100-4077
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-0111-1776
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2014 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Healthcare facilities, and especially emergency departments (ED), are usually characterized by its complexity due to the variability and stochastic nature of the processes involved in the system. The combination of different flows of patients, staff and resources also increments the complexity of this kind of facilities. In order to increase its efficiency, many researchers have proposed discrete-event simulation (DES) as a powerful improvement tool. However, DES can be a limited approach in the case a simulation model has too many combinations of input parameters, complex correlations between the input and output parameters and different objective functions. Hence, to find the best configuration of a complex system, an approach combining DES and meta-heuristic optimization becomes an even more powerful improvement technique. Simulation-based multiobjective-optimization (SMO) is a promising approach to generate multiple trade-off solutions particularly when multiple conflicting objectives exist within a complex system. The generated solutions provide decision makers with feasible and optimal alternatives to improve, modify or design healthcare systems. The aim of this paper is to present the work done at the ED of the regional Hospital of Skövde in Sweden, where SMO implemented in modeFromtier has been successfully applied. The result and methodology present a successful approach for decision makers in healthcare systems to reduce the waiting time of patients saving considerable time, money and resources.

Place, publisher, year, edition, pages
2014.
Keyword [en]
Simulation-based Optimization, Emergency Department, System Improvement
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Other Medical Engineering
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-14203OAI: oai:DiVA.org:his-14203DiVA: diva2:1147429
Conference
6th edition of the modeFRONTIER International Users' Meeting Conference. Trieste, Italy, May 12-13, 2014
Funder
Region Västra Götaland
Available from: 2017-10-05 Created: 2017-10-05 Last updated: 2017-10-09Bibliographically approved

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Goienetxea Uriarte, AinhoaRuiz Zúñiga, EnriqueUrenda Moris, MatiasNg, Amos H. C.
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CiteExportLink to record
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