Emergency Department: A General Adaptable Simulation Model Implemented In Arena

2014 ◽  
Author(s):  
Arturo Liguori ◽  
Giorgio Romanin-Jacur
Keyword(s):  
Emergency Department ◽  
Simulation Model

scholarly journals Patient Flow Simulation Using Historically Informed Synthetic Data

2021 ◽  
Author(s):  
Ezra Kenny ◽  
Hamed Hassanzadeh ◽  
Sankalp Khanna ◽  
Justin Boyle ◽  
Sandra Louise
Keyword(s):  
Emergency Department ◽  
Simulation Model ◽  
Patient Flow ◽  
Discrete Event ◽  
Synthetic Data ◽  
Flow Simulation ◽  
Average Patient ◽  
Future Demands ◽  
Healthcare Administrators ◽  
Using Data

Hospital overcrowding is a major problem for healthcare systems around the globe. In order to better estimate future demands and adequate resources for coping with such demands, statistical and computerised modelling can be applied. This can then allow healthcare administrators and decision makers to quantify the impacts of various “what-if” scenarios on hospital performance measures. This paper investigates the application of Discrete Event Simulation towards optimising Emergency Department resources while measuring overall length of stay and queuing time of emergency patients as a target performance measure. In particular, we explore strategies for generating historically informed synthetic data that helps the simulation model track patient flow through the target hospital over a future time frame. Using the developed simulation model, several resource configurations are tested using data from one of the busiest emergency departments in the state of Queensland as the baseline while quantifying the impacts of such changes on key patient flow metrics. It was found that adding a single bed (and associated resources) to the emergency department would result in a 23% decrease in average patient treatment delay.

scholarly journals Factors Influencing Door-To-Doctor Time In An Emergency Department: Discrete Event Simulation Model

2016 ◽  
Vol 19 (7) ◽  
pp. A624 ◽  
Author(s):  
RA Ribeiro ◽  
EN Baungratz ◽  
G Vaccaro ◽  
PS Schmitz ◽  
AK Fernandes ◽  
...  
Keyword(s):  
Emergency Department ◽  
Simulation Model ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation ◽  
Discrete Event Simulation Model ◽  
Factors Influencing

Simulation and ABC to Improve the Performance of Emergency Department

2012 ◽  
Vol 3 (3) ◽  
pp. 15-31
Author(s):  
Abbas Al-Refaie ◽  
Mohammed Shurrab ◽  
Ming-Hsien Li
Keyword(s):  
Emergency Department ◽  
Simulation Model ◽  
Performance Measures ◽  
Decision Makers ◽  
Activity Based Costing ◽  
Cost Information ◽  
Controllable Factors ◽  
Financial Practices

This study aims at developing an Activity Based Costing (ABC) for the Emergency Department (ED) in a Jordanian hospital to determine associated costs and clarifies the financial practices inside ED rooms. For this purpose, simulation model is built for patients at the current ED activities and determine the costs for each room in ED. The total costs (JD), number of served patients, and profits (JD) are 263562, 10256, and 146677, respectively. Improvement is suggested by studying three three-level controllable factors using simulation. It is noted that focusing on the lowest total costs, B-1 (adding two beds with one added nurse) and B-2 (introducing four beds with two added nurses) provide the two smallest total costs (JD) of 252568 and 253320, respectively. Whereas, for the largest number of served patients is achieved by A-1 (assigning one sharing doctor for Abdominal) and C-1 (adding another room for abdominal with new doctor) of equal number of served patients of 10466. In order to combine these two performance measures, the profit associated with each scenario is considered. It is found that factor A-1 provides the largest profit (= 150,390 JD). The results of this research may provide decision makers valuable cost information that helps them in improving ED performance.

A simulation model for evaluating resource policies in a major emergency department

2012 ◽  
Author(s):  
Varsha Venugopal ◽  
L. Daniel Otero ◽  
Carlos E. Otero ◽  
Grisselle Centeno
Keyword(s):  
Emergency Department ◽  
Simulation Model

A Simulation Model for Resource Balancing in Healthcare Systems

2017 ◽  
pp. 78-93
Author(s):  
Arzu Eren Şenaras ◽  
Hayrettin Kemal Sezen
Keyword(s):  
Health Care ◽  
Emergency Department ◽  
Simulation Model ◽  
Waiting Times ◽  
Discrete Event ◽  
Healthcare Systems ◽  
Event Simulation ◽  
Package Program ◽  
Effective Policy ◽  
Very High

This study aims to analyze resource effectiveness through developed model. Changing different number of resources and testing their response, appropriate number of resources can be identified as a basis of resource balancing through what-if analysis. The simulation model for emergency department is developed by Arena package program. The patient waiting times are reduced by the tested scenarios. Health care system is very expensive sector and related costs are very high. To raise service quality, number of doctor and nurse are increased but system target is provided by increased number of register clerk. Testing different scenarios, effective policy can be designed using developed simulation model. This chapter provides the readers to evaluate healthcare system using discrete event simulation. The developed model could be evaluated as a base for new implementations in other hospitals and clinics.

A Simulation Model for Resource Balancing in Healthcare Systems

2020 ◽  
pp. 336-351
Author(s):  
Arzu Eren Şenaras ◽  
Hayrettin Kemal Sezen
Keyword(s):  
Health Care ◽  
Emergency Department ◽  
Simulation Model ◽  
Waiting Times ◽  
Discrete Event ◽  
Healthcare Systems ◽  
Event Simulation ◽  
Package Program ◽  
Effective Policy ◽  
Very High

This study aims to analyze resource effectiveness through developed model. Changing different number of resources and testing their response, appropriate number of resources can be identified as a basis of resource balancing through what-if analysis. The simulation model for emergency department is developed by Arena package program. The patient waiting times are reduced by the tested scenarios. Health care system is very expensive sector and related costs are very high. To raise service quality, number of doctor and nurse are increased but system target is provided by increased number of register clerk. Testing different scenarios, effective policy can be designed using developed simulation model. This chapter provides the readers to evaluate healthcare system using discrete event simulation. The developed model could be evaluated as a base for new implementations in other hospitals and clinics.

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