Modeling, Assessment and Design of an Emergency Department of a Public Hospital through Discrete-Event Simulation

被引:4
作者
Castanheira-Pinto, Alexandre [1 ]
Goncalves, Bruno S. [1 ]
Lima, Rui M. [1 ]
Dinis-Carvalho, Jose [1 ]
机构
[1] Univ Minho, Sch Engn, Algoritmi Ctr, Dept Prod & Syst, P-4800058 Guimaraes, Portugal
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 02期
关键词
operations management; emergency department; discrete event simulation; lean healthcare; simulation model;
D O I
10.3390/app11020805
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Emergency departments in hospitals are having many difficulties in achieving the performance levels required by health regulators and society. The waiting times as well as the total throughput time are examples of performance indicators that emergency departments need to improve in order to provide a better service to the community. To achieve improvement of performance, the present paper shows a methodology to assist the design process of an emergency department using simulation techniques. In this study, the emergency department of a hospital located in the northern region of Portugal was considered to test the proposed simulation technique. The emergency department initial state was assessed, in terms of patient flow, as well as the human resources needed at every stage of the service. In order to understand in depth the process that a patient goes through during an emergency episode, a comprehensive study was performed on the hospital database. This allowed the analytical description of an emergency episode, which was further used as an input to the simulation model. After developing the simulation model with the information obtained by the hospital's database, a validation stage was performed. Finally, in order to achieve an optimized design for the emergency department several variant scenarios were considered and evaluated. This methodology proved to be very useful in determining an optimized operation for complex, and non-linear systems.
引用
收藏
页码:1 / 25
页数:20
相关论文
共 28 条
[1]  
Balle M., 2006, Reflections, V7, P1
[2]   Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators [J].
Barosz, Piotr ;
Golda, Grzegorz ;
Kampa, Adrian .
APPLIED SCIENCES-BASEL, 2020, 10 (08)
[3]   Lean in healthcare: A comprehensive review [J].
D'Andreamatteo, Antonio ;
Ianni, Luca ;
Lega, Federico ;
Sargiacomo, Massimo .
HEALTH POLICY, 2015, 119 (09) :1197-1209
[4]   Simulation optimization of a multi-stage multi-product paint shop line with Response Surface Methodology [J].
Dengiz, Berna ;
Belgin, Onder .
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2014, 90 (03) :265-274
[5]   Lean production in healthcare: a simulation-based value stream mapping in the physical therapy and rehabilitation department of a public hospital [J].
Dogan, Nuri Ozgur ;
Unutulmaz, Osman .
TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE, 2016, 27 (1-2) :64-80
[6]   Modeling and Simulation of a Flexible Manufacturing System-A Basic Component of Industry 4.0 [J].
Florescu, Adriana ;
Barabas, Sorin Adrian .
APPLIED SCIENCES-BASEL, 2020, 10 (22) :1-20
[7]  
Heinbuch S E, 1995, J Manag Med, V9, P48, DOI 10.1108/02689239510086524
[8]   Learning to evolve - A review of contemporary lean thinking [J].
Hines, P ;
Holwe, M ;
Rich, N .
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2004, 24 (9-10) :994-1011
[9]   Lean Thinking in Emergency Departments: A Critical Review [J].
Holden, Richard J. .
ANNALS OF EMERGENCY MEDICINE, 2011, 57 (03) :265-278
[10]   The genealogy of lean production [J].
Holweg, Matthias .
JOURNAL OF OPERATIONS MANAGEMENT, 2007, 25 (02) :420-437