Development of emergency department load relief area-gauging benefits in empirical terms

Farrukh Rasheed, Young Hoon Lee, Seung Ho Kim, In Cheol Park

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Introduction: The primary goal of this investigation was to develop a simulation model to evaluate the various internal and external factors affecting patient flow and crowding in the emergency department (ED). In addition, a few recommendations are proposed to reconfigure the patient flow to improve ED capacity while maintaining service quality. Methods: In this research, we present a simulation study conducted in the ED at the "S Hospital" located in Seoul. Based on patient flow data and process analysis, a simulation model of patient throughput in the ED has been developed. We evaluated simulations of diverting the specific patient load in the light of our proposed recommendations to a separately managed area named as the ED load relief area (ED-LRA) and analyzing potential effects on overall length of stay (LOS) and waiting time (WT). Results: What-if analyses have been proposed to identify key issues and investigate the improvements as per our proposed recommendations. The simulation results suggest that specific patient load diversion is needed to ensure desired outcomes. With the diversion of specific patient load to ED-LRA, there is a reduction of 40.60% in mean LOS and 42.5% in WT with improved resource utilization. As a result, opening of an ED-LRA is justified. Conclusions: Real-world systems are often too intricate for analytical models and often too expensive to trial with directly. Simulation models allow the modeling of this intricacy and enable experimentation to make inferences about how the actual system might perform. Our simulation study modeled that diverting the specific patient load to ED-LRA produced an improvement in overall ED's LOS and WT.

Original languageEnglish
Pages (from-to)343-352
Number of pages10
JournalSimulation in Healthcare
Volume7
Issue number6
DOIs
Publication statusPublished - 2012 Dec 1

Fingerprint

Gaging
Emergency
Hospital Emergency Service
simulation model
simulation
Term
Waiting Time
Recommendations
Length of Stay
Simulation Model
process analysis
Analytical models
Throughput
data analysis
utilization
Patient Simulation
Simulation Study
Service Quality
Data Flow
resources

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Medicine (miscellaneous)
  • Education
  • Modelling and Simulation

Cite this

Rasheed, Farrukh ; Lee, Young Hoon ; Kim, Seung Ho ; Park, In Cheol. / Development of emergency department load relief area-gauging benefits in empirical terms. In: Simulation in Healthcare. 2012 ; Vol. 7, No. 6. pp. 343-352.
@article{167be9d314e645c5883d99dc82945470,
title = "Development of emergency department load relief area-gauging benefits in empirical terms",
abstract = "Introduction: The primary goal of this investigation was to develop a simulation model to evaluate the various internal and external factors affecting patient flow and crowding in the emergency department (ED). In addition, a few recommendations are proposed to reconfigure the patient flow to improve ED capacity while maintaining service quality. Methods: In this research, we present a simulation study conducted in the ED at the {"}S Hospital{"} located in Seoul. Based on patient flow data and process analysis, a simulation model of patient throughput in the ED has been developed. We evaluated simulations of diverting the specific patient load in the light of our proposed recommendations to a separately managed area named as the ED load relief area (ED-LRA) and analyzing potential effects on overall length of stay (LOS) and waiting time (WT). Results: What-if analyses have been proposed to identify key issues and investigate the improvements as per our proposed recommendations. The simulation results suggest that specific patient load diversion is needed to ensure desired outcomes. With the diversion of specific patient load to ED-LRA, there is a reduction of 40.60{\%} in mean LOS and 42.5{\%} in WT with improved resource utilization. As a result, opening of an ED-LRA is justified. Conclusions: Real-world systems are often too intricate for analytical models and often too expensive to trial with directly. Simulation models allow the modeling of this intricacy and enable experimentation to make inferences about how the actual system might perform. Our simulation study modeled that diverting the specific patient load to ED-LRA produced an improvement in overall ED's LOS and WT.",
author = "Farrukh Rasheed and Lee, {Young Hoon} and Kim, {Seung Ho} and Park, {In Cheol}",
year = "2012",
month = "12",
day = "1",
doi = "10.1097/SIH.0b013e31825ded80",
language = "English",
volume = "7",
pages = "343--352",
journal = "Simulation in Healthcare",
issn = "1559-2332",
publisher = "Lippincott Williams and Wilkins",
number = "6",

}

Development of emergency department load relief area-gauging benefits in empirical terms. / Rasheed, Farrukh; Lee, Young Hoon; Kim, Seung Ho; Park, In Cheol.

In: Simulation in Healthcare, Vol. 7, No. 6, 01.12.2012, p. 343-352.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Development of emergency department load relief area-gauging benefits in empirical terms

AU - Rasheed, Farrukh

AU - Lee, Young Hoon

AU - Kim, Seung Ho

AU - Park, In Cheol

PY - 2012/12/1

Y1 - 2012/12/1

N2 - Introduction: The primary goal of this investigation was to develop a simulation model to evaluate the various internal and external factors affecting patient flow and crowding in the emergency department (ED). In addition, a few recommendations are proposed to reconfigure the patient flow to improve ED capacity while maintaining service quality. Methods: In this research, we present a simulation study conducted in the ED at the "S Hospital" located in Seoul. Based on patient flow data and process analysis, a simulation model of patient throughput in the ED has been developed. We evaluated simulations of diverting the specific patient load in the light of our proposed recommendations to a separately managed area named as the ED load relief area (ED-LRA) and analyzing potential effects on overall length of stay (LOS) and waiting time (WT). Results: What-if analyses have been proposed to identify key issues and investigate the improvements as per our proposed recommendations. The simulation results suggest that specific patient load diversion is needed to ensure desired outcomes. With the diversion of specific patient load to ED-LRA, there is a reduction of 40.60% in mean LOS and 42.5% in WT with improved resource utilization. As a result, opening of an ED-LRA is justified. Conclusions: Real-world systems are often too intricate for analytical models and often too expensive to trial with directly. Simulation models allow the modeling of this intricacy and enable experimentation to make inferences about how the actual system might perform. Our simulation study modeled that diverting the specific patient load to ED-LRA produced an improvement in overall ED's LOS and WT.

AB - Introduction: The primary goal of this investigation was to develop a simulation model to evaluate the various internal and external factors affecting patient flow and crowding in the emergency department (ED). In addition, a few recommendations are proposed to reconfigure the patient flow to improve ED capacity while maintaining service quality. Methods: In this research, we present a simulation study conducted in the ED at the "S Hospital" located in Seoul. Based on patient flow data and process analysis, a simulation model of patient throughput in the ED has been developed. We evaluated simulations of diverting the specific patient load in the light of our proposed recommendations to a separately managed area named as the ED load relief area (ED-LRA) and analyzing potential effects on overall length of stay (LOS) and waiting time (WT). Results: What-if analyses have been proposed to identify key issues and investigate the improvements as per our proposed recommendations. The simulation results suggest that specific patient load diversion is needed to ensure desired outcomes. With the diversion of specific patient load to ED-LRA, there is a reduction of 40.60% in mean LOS and 42.5% in WT with improved resource utilization. As a result, opening of an ED-LRA is justified. Conclusions: Real-world systems are often too intricate for analytical models and often too expensive to trial with directly. Simulation models allow the modeling of this intricacy and enable experimentation to make inferences about how the actual system might perform. Our simulation study modeled that diverting the specific patient load to ED-LRA produced an improvement in overall ED's LOS and WT.

UR - http://www.scopus.com/inward/record.url?scp=84873089842&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873089842&partnerID=8YFLogxK

U2 - 10.1097/SIH.0b013e31825ded80

DO - 10.1097/SIH.0b013e31825ded80

M3 - Article

C2 - 22960699

AN - SCOPUS:84873089842

VL - 7

SP - 343

EP - 352

JO - Simulation in Healthcare

JF - Simulation in Healthcare

SN - 1559-2332

IS - 6

ER -