A DISCRETE EVENT SIMULATION (DES) BASED APPROACH TO MAXIMIZE THE PATIENT THROUGHPUT IN OUTPATIENT CLINIC

Engineering Science & Technology Journal

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Title A DISCRETE EVENT SIMULATION (DES) BASED APPROACH TO MAXIMIZE THE PATIENT THROUGHPUT IN OUTPATIENT CLINIC
 
Creator Dayarathna, Vidanelage L.
Mismesh, Hebah
Nagahisarchoghaei, Mohammad
Alhumoud, Aziz
 
Subject Healthcare
System Simulation
Discrete Event Simulation (DES)
Patient Throughput
Waiting Time.
 
Description The healthcare system is a complex system which exhibits conditions of uncertainty, ambiguity emergence that incurs incoming patient congestion. Discrete event simulation (FlexSim) is considered as a viable decision support tool in analyzing a system for improvement. Using a data-driven discrete event simulation approach, this paper portrays a comprehensive analysis to maximize the number of patients in an on-campus clinic, located at Mississippi State University. The outcome of the analysis of current system exhibits that deploying a few nurse practitioners results in bottlenecks which decreases the systems’ throughput substantially due to the overall longer patients’ waiting time.  Access to the laboratory is characterized through multi-server queuing network, arrival process is followed discrete distributions, and batch sizes and arrival times are stochastic in nature. In an effort to plummet inpatient congestion at the outpatient clinic, by using empirically calibrated simulation model, we will figure out the best balance between the number of the lab technician and incoming patient during working hour. An analysis of optimal solutions is demonstrated, which is followed by recommendation and avenues for future research.
 
Publisher Fair East Publishers
 
Date 2020-06-23
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Quantitative
 
Format application/pdf
 
Identifier https://www.fepbl.com/index.php/estj/article/view/36
 
Source Engineering Science & Technology Journal; Vol. 1 No. 1 (2019); 1-11
2708-8952
2708-8944
 
Language eng
 
Relation https://www.fepbl.com/index.php/estj/article/view/36/280
 
Rights Copyright (c) 2019 Vidanelage L. Dayarathna, Hebah Mismesh, Mohammad Nagahisarchoghaei, Aziz Alhumoud
https://creativecommons.org/licenses/by-nc/4.0
 

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