A simulation-based approach to reduce waiting times in emergency departments

Aydin  Teymourifar

doi:10.1007/978-3-031-09385-2_21

A simulation-based approach to reduce waiting times in emergency departments

Aydin Teymourifar

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

1 Citation (Scopus)

Abstract

The goal of this work is to utilize a simulation model to reduce waiting times before examinations in emergency departments. Different types of arrivals to an emergency department, basic processes, and possible queues are explained. The implementation is conducted in the Rockwell Arena software and some related details are provided. The validity of the simulation model is demonstrated. Then scenarios are developed based on limited boosting of resources to reduce waiting times. It is analyzed how waiting times can be reduced. Also, it is discussed that which resources should be increased for this aim. The Process Analyzer software is used for the analysis of the scenarios, whose details are given. It is also analyzed how the utilization rate of resources changes in scenarios. Data from the literature are used for experimental results. Since the analyzes are based on generalizable approaches, they can be applied in similar emergency departments. The results show that with a reasonable increase in resources, it is possible to significantly reduce waiting times. The implications that may be useful in the management of emergency departments are presented.

Original language	English
Title of host publication	Innovations in Mechatronics Engineering II, ICIE 2022
Editors	José Machado, Filomena Soares, Justyna Trojanowska, Sahin Yildirim, Jiří Vojtěšek, Pierluigi Rea, Bogdan Gramescu, Olena O. Hrybiuk
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	232–244
Number of pages	13
ISBN (Print)	9783031093845
DOIs	https://doi.org/10.1007/978-3-031-09385-2_21
Publication status	Published - 2022

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Keywords

Discrete event simulation
Emergency department
Process analyzer
Rockwell arena
Waiting time

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-09385-2_21

Cite this

Teymourifar, A. (2022). A simulation-based approach to reduce waiting times in emergency departments. In J. Machado, F. Soares, J. Trojanowska, S. Yildirim, J. Vojtěšek, P. Rea, B. Gramescu, & O. O. Hrybiuk (Eds.), Innovations in Mechatronics Engineering II, ICIE 2022 (pp. 232–244). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09385-2_21

Teymourifar, Aydin . / A simulation-based approach to reduce waiting times in emergency departments. Innovations in Mechatronics Engineering II, ICIE 2022. editor / José Machado ; Filomena Soares ; Justyna Trojanowska ; Sahin Yildirim ; Jiří Vojtěšek ; Pierluigi Rea ; Bogdan Gramescu ; Olena O. Hrybiuk. Springer Science and Business Media Deutschland GmbH, 2022. pp. 232–244 (Lecture Notes in Mechanical Engineering).

@inproceedings{1230c1be21c54870ac7721937355c05d,

title = "A simulation-based approach to reduce waiting times in emergency departments",

abstract = "The goal of this work is to utilize a simulation model to reduce waiting times before examinations in emergency departments. Different types of arrivals to an emergency department, basic processes, and possible queues are explained. The implementation is conducted in the Rockwell Arena software and some related details are provided. The validity of the simulation model is demonstrated. Then scenarios are developed based on limited boosting of resources to reduce waiting times. It is analyzed how waiting times can be reduced. Also, it is discussed that which resources should be increased for this aim. The Process Analyzer software is used for the analysis of the scenarios, whose details are given. It is also analyzed how the utilization rate of resources changes in scenarios. Data from the literature are used for experimental results. Since the analyzes are based on generalizable approaches, they can be applied in similar emergency departments. The results show that with a reasonable increase in resources, it is possible to significantly reduce waiting times. The implications that may be useful in the management of emergency departments are presented.",

keywords = "Discrete event simulation, Emergency department, Process analyzer, Rockwell arena, Waiting time",

author = "Aydin Teymourifar",

year = "2022",

doi = "10.1007/978-3-031-09385-2_21",

language = "English",

isbn = "9783031093845",

series = "Lecture Notes in Mechanical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "232–244",

editor = "Jos{\'e} Machado and Filomena Soares and Justyna Trojanowska and Sahin Yildirim and Ji{\v r}{\'i} Vojt{\v e}{\v s}ek and Pierluigi Rea and Bogdan Gramescu and Hrybiuk, {Olena O.}",

booktitle = "Innovations in Mechatronics Engineering II, ICIE 2022",

address = "Germany",

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Teymourifar, A 2022, A simulation-based approach to reduce waiting times in emergency departments. in J Machado, F Soares, J Trojanowska, S Yildirim, J Vojtěšek, P Rea, B Gramescu & OO Hrybiuk (eds), Innovations in Mechatronics Engineering II, ICIE 2022. Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, pp. 232–244. https://doi.org/10.1007/978-3-031-09385-2_21

A simulation-based approach to reduce waiting times in emergency departments. / Teymourifar, Aydin .
Innovations in Mechatronics Engineering II, ICIE 2022. ed. / José Machado; Filomena Soares; Justyna Trojanowska; Sahin Yildirim; Jiří Vojtěšek; Pierluigi Rea; Bogdan Gramescu; Olena O. Hrybiuk. Springer Science and Business Media Deutschland GmbH, 2022. p. 232–244 (Lecture Notes in Mechanical Engineering).

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

TY - GEN

T1 - A simulation-based approach to reduce waiting times in emergency departments

AU - Teymourifar, Aydin

PY - 2022

Y1 - 2022

N2 - The goal of this work is to utilize a simulation model to reduce waiting times before examinations in emergency departments. Different types of arrivals to an emergency department, basic processes, and possible queues are explained. The implementation is conducted in the Rockwell Arena software and some related details are provided. The validity of the simulation model is demonstrated. Then scenarios are developed based on limited boosting of resources to reduce waiting times. It is analyzed how waiting times can be reduced. Also, it is discussed that which resources should be increased for this aim. The Process Analyzer software is used for the analysis of the scenarios, whose details are given. It is also analyzed how the utilization rate of resources changes in scenarios. Data from the literature are used for experimental results. Since the analyzes are based on generalizable approaches, they can be applied in similar emergency departments. The results show that with a reasonable increase in resources, it is possible to significantly reduce waiting times. The implications that may be useful in the management of emergency departments are presented.

AB - The goal of this work is to utilize a simulation model to reduce waiting times before examinations in emergency departments. Different types of arrivals to an emergency department, basic processes, and possible queues are explained. The implementation is conducted in the Rockwell Arena software and some related details are provided. The validity of the simulation model is demonstrated. Then scenarios are developed based on limited boosting of resources to reduce waiting times. It is analyzed how waiting times can be reduced. Also, it is discussed that which resources should be increased for this aim. The Process Analyzer software is used for the analysis of the scenarios, whose details are given. It is also analyzed how the utilization rate of resources changes in scenarios. Data from the literature are used for experimental results. Since the analyzes are based on generalizable approaches, they can be applied in similar emergency departments. The results show that with a reasonable increase in resources, it is possible to significantly reduce waiting times. The implications that may be useful in the management of emergency departments are presented.

KW - Discrete event simulation

KW - Emergency department

KW - Process analyzer

KW - Rockwell arena

KW - Waiting time

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DO - 10.1007/978-3-031-09385-2_21

M3 - Conference contribution

SN - 9783031093845

T3 - Lecture Notes in Mechanical Engineering

SP - 232

EP - 244

BT - Innovations in Mechatronics Engineering II, ICIE 2022

A2 - Machado, José

A2 - Soares, Filomena

A2 - Trojanowska, Justyna

A2 - Yildirim, Sahin

A2 - Vojtěšek, Jiří

A2 - Rea, Pierluigi

A2 - Gramescu, Bogdan

A2 - Hrybiuk, Olena O.

PB - Springer Science and Business Media Deutschland GmbH

ER -

Teymourifar A. A simulation-based approach to reduce waiting times in emergency departments. In Machado J, Soares F, Trojanowska J, Yildirim S, Vojtěšek J, Rea P, Gramescu B, Hrybiuk OO, editors, Innovations in Mechatronics Engineering II, ICIE 2022. Springer Science and Business Media Deutschland GmbH. 2022. p. 232–244. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-031-09385-2_21

A simulation-based approach to reduce waiting times in emergency departments

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

CEECINST2018 - A. Teymourifar: Simulation and Analytical Techniques Applied to Management and Economics

CEGE: Research Center in Management and Economics

Cite this

A simulation-based approach to reduce waiting times in emergency departments

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

CEECINST2018 - A. Teymourifar: Simulation and Analytical Techniques Applied to Management and Economics

CEGE: Research Center in Management and Economics

Cite this