Improving the operations of an emergency department (ED) using a combined approach of simulation and analytical hierarchical process (AHP)
Vasiliki Amarantou,
Dimitrios Chatzoudes,
Vassilios Angelidis,
Alexandros Xanthopoulos and
Prodromos Chatzoglou
Journal of Simulation, 2023, vol. 17, issue 2, 193-210
Abstract:
This paper presents the results concerning the evaluation of the processes of an Emergency Department (ED). Based on the analysis of both processes and data flow, a simulation model of patient throughput in the ED has been developed. Simulation results, obtained using the JaamSim software, pointed out the strengths and weaknesses of the departments’ operations. Then, several alternative scenarios (hypothetical solutions) were created and tested, while the results were thoroughly analysed. In order to prioritise the several scenarios, two hierarchical processes were used. Firstly, a multicriteria table was developed based on decision makers’ personal preference. Total length of stay was acknowledged as the factor with the higher importance. Consequently, the application of an analytical hierarchical process (AHP) managed to verify the primary ranking. A comparison of the proposed ideas was attempted, featuring the implementation of a fast track unit as the best practice.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/17477778.2021.1981784 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:17:y:2023:i:2:p:193-210
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20
DOI: 10.1080/17477778.2021.1981784
Access Statistics for this article
Journal of Simulation is currently edited by Christine Currie
More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().