scholarly journals An emergency department simulation model used to evaluate alternative nurse staffing and patient population scenarios

Author(s):  
Margaret A. Draeger
2003 ◽  
Vol 29 (3) ◽  
pp. 245-253 ◽  
Author(s):  
Carl E. Ray ◽  
Mary Jagim ◽  
James Agnew ◽  
Joanne Ingalls McKay ◽  
Susan Sheehy

Author(s):  
Ezra Kenny ◽  
Hamed Hassanzadeh ◽  
Sankalp Khanna ◽  
Justin Boyle ◽  
Sandra Louise

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.


2016 ◽  
Vol 19 (7) ◽  
pp. A624 ◽  
Author(s):  
RA Ribeiro ◽  
EN Baungratz ◽  
G Vaccaro ◽  
PS Schmitz ◽  
AK Fernandes ◽  
...  

2012 ◽  
Vol 3 (3) ◽  
pp. 15-31
Author(s):  
Abbas Al-Refaie ◽  
Mohammed Shurrab ◽  
Ming-Hsien Li

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.


2001 ◽  
Vol 8 (1) ◽  
pp. 30-35 ◽  
Author(s):  
C. Crawford Mechem ◽  
Frances S. Shofer ◽  
Sharon S. Reinhard ◽  
Sarah Hornig ◽  
Elizabeth M. Datner

1999 ◽  
Vol 6 (11) ◽  
pp. 1109-1114 ◽  
Author(s):  
Margaret A. Kersey ◽  
Mary Sue Beran ◽  
Paul G. McGovern ◽  
Michelle H. Biros ◽  
Nicole Lurie

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