A COMPUTER SIMULATION MODEL TO REDUCE PATIENT LENGTH OF STAY AND TO IMPROVE RESOURCE UTILIZATION RATE IN AN EMERGENCY DEPARTMENT SERVICE SYSTEM

MakaleYalnız künyeScopus SJRQ2

Özet

This paper presents a case study of a discrete-event simulation (DES) model of an emergency department (ED) unit in a regional university hospital in Turkey. In this paper emergency department operations of the hospital were modeled, analyzed and improved. The goal of the study is to reduce patient average length of stay (LOS) and to improve patient throughput and utilization of locations and human resources (doctors, nurses, receptionists). Some alternative scenarios in an attempt to determine optimal staff level were evaluated. These alternative approaches illustrate that vital improvement in LOS and throughput can be obtained by minor changes in shift hours and number of resources. Considering future changes in patient demand a scenario which reduces LOS and improves throughput is available in the paper. Significance: The Key Performance Indicators (KPIs) to determine and improve system performance in healthcare emergency departments consist of to reduce patient average length of stay (LOS), to improve patient throughput and resource utilization rates. Alternative scenarios and optimal staff levels are enhanced within the scope of this study.

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dc.contributor.authorGul, Muhammet
dc.contributor.authorGuneri, Ali Fuat
dc.date.accessioned2026-10-28T14:58:51.353655019Z
dc.date.available2026-10-28T14:58:51.353655019Z
dc.date.issued2012
dc.description.abstractThis paper presents a case study of a discrete-event simulation (DES) model of an emergency department (ED) unit in a regional university hospital in Turkey. In this paper emergency department operations of the hospital were modeled, analyzed and improved. The goal of the study is to reduce patient average length of stay (LOS) and to improve patient throughput and utilization of locations and human resources (doctors, nurses, receptionists). Some alternative scenarios in an attempt to determine optimal staff level were evaluated. These alternative approaches illustrate that vital improvement in LOS and throughput can be obtained by minor changes in shift hours and number of resources. Considering future changes in patient demand a scenario which reduces LOS and improves throughput is available in the paper. Significance: The Key Performance Indicators (KPIs) to determine and improve system performance in healthcare emergency departments consist of to reduce patient average length of stay (LOS), to improve patient throughput and resource utilization rates. Alternative scenarios and optimal staff levels are enhanced within the scope of this study.
dc.identifier.eissn1943-670X
dc.identifier.endpage231
dc.identifier.issue5
dc.identifier.startpage221
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/4069
dc.identifier.volume19
dc.identifier.wosWOS:000313040200002
dc.language.isoen
dc.publisherUNIV CINCINNATI INDUSTRIAL ENGINEERING
dc.relation.ispartofINTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEmergency departments
dc.subjecthealthcare modeling
dc.subjectdiscrete event simulation
dc.subjectlength of stay
dc.subjectServicemodel
dc.subject.classificationEngineering, Industrial
dc.subject.classificationEngineering, Manufacturing
dc.subject.classificationEngineering
dc.subject.otherQUALITY
dc.subject.otherCARE
dc.titleA COMPUTER SIMULATION MODEL TO REDUCE PATIENT LENGTH OF STAY AND TO IMPROVE RESOURCE UTILIZATION RATE IN AN EMERGENCY DEPARTMENT SERVICE SYSTEM
dc.typeArticle
rdl.citation.wos53
rdl.oa.statusclosed
rdl.scopus.quartileQ2
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)