COMPARING SCHEDULING APPOINTMENT RULES PERFORMANCE IN HEALTH CARE UNITS: A DISCRETE EVENT SIMULATION APPROACH | Problems of Management in the 21st Century

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COMPARING SCHEDULING APPOINTMENT RULES PERFORMANCE IN HEALTH CARE UNITS: A DISCRETE EVENT SIMULATION APPROACH

Title	COMPARING SCHEDULING APPOINTMENT RULES PERFORMANCE IN HEALTH CARE UNITS: A DISCRETE EVENT SIMULATION APPROACH
Publication Type	Journal Article
Year of Publication	2021
Authors	Klojda, TN, de Fortuna, APBP, Araújo, BM, Assad, DBN, Spiegel, T
Journal	Problems of Management in the 21st Century
Volume	16
Issue	1
Start Page	28-41
Pagination	Continuous
Date Published	June/2021
Type of Article	Original article
ISSN	2029-6932
Other Numbers	E-ISSN 2538-712X
Keywords	appointment scheduling, discrete event simulation, health care, idle-time, queue management
Abstract	Health care systems are affected by sudden increases in demand that can be generated by factors such as natural disasters, terrorist attacks, epidemics, among others. Patient demand can be divided between scheduled and walk-in and, in pandemic scenarios, both of them must be managed in order to avoid higher patient waiting times or number in queue. A discrete event simulation model is proposed in order to evaluate critical indicators like: patient waiting times, number in queue, resource utilization (doctors), using four different patient schedule appointment rules. In this study it was also considered patients impunctuality, walk-in patients and no-show in different scenarios. The best schedule appointment rules for each demand scenario were evaluated. After comparing six performance indicators, four schedule appointment rules in nine different scenarios it was found that the most known scheduling rule had the lowest queue sizes at scenarios with low or no walk-in patients, whereas, as the unpredictability of the scenarios rose, other rules outperformed it. It was also presented to exist an inverse relation between queue size and the physician idle time.
URL	http://oaji.net/articles/2021/450-1624470888.pdf
DOI	10.33225/pmc/21.16.28
Refereed Designation	Refereed
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