File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Improving the efficiency of a hospital emergency department: a simulation study with indirectly imputed service-time distributions

TitleImproving the efficiency of a hospital emergency department: a simulation study with indirectly imputed service-time distributions
Authors
KeywordsPatient flows
Simulated annealing
Meta-heuristics
Simulation
Health-care management
Simulation optimization
Parameter estimation
Issue Date2016
Citation
Flexible Services and Manufacturing Journal, 2016, v. 28, n. 1-2, p. 120-147 How to Cite?
Abstract© 2014, Springer Science+Business Media New York. This paper presents a case study which uses simulation to analyze patient flows in a hospital emergency department in Hong Kong. We first analyze the impact of the enhancements made to the system after the relocation of the Emergency Department. After that, we developed a simulation model (using ARENA) to capture all the key relevant processes of the department. When developing the simulation model, we faced the challenge that the data kept by the Emergency Department were incomplete so that the service-time distributions were not directly obtainable. We propose a simulation–optimization approach (integrating simulation with meta-heuristics) to obtain a good set of estimate of input parameters of our simulation model. Using the simulation model, we evaluated the impact of possible changes to the system by running different scenarios. This provides a tool for the operations manager in the Emergency Department to “foresee” the impact on the daily operations when making possible changes (such as, adjusting staffing levels or shift times), and consequently make much better decisions.
Persistent Identifierhttp://hdl.handle.net/10722/246821
ISSN
2023 Impact Factor: 2.5
2023 SCImago Journal Rankings: 0.766
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKuo, Yong Hong-
dc.contributor.authorRado, Omar-
dc.contributor.authorLupia, Benedetta-
dc.contributor.authorLeung, Janny M.Y.-
dc.contributor.authorGraham, Colin A.-
dc.date.accessioned2017-09-26T04:28:05Z-
dc.date.available2017-09-26T04:28:05Z-
dc.date.issued2016-
dc.identifier.citationFlexible Services and Manufacturing Journal, 2016, v. 28, n. 1-2, p. 120-147-
dc.identifier.issn1936-6582-
dc.identifier.urihttp://hdl.handle.net/10722/246821-
dc.description.abstract© 2014, Springer Science+Business Media New York. This paper presents a case study which uses simulation to analyze patient flows in a hospital emergency department in Hong Kong. We first analyze the impact of the enhancements made to the system after the relocation of the Emergency Department. After that, we developed a simulation model (using ARENA) to capture all the key relevant processes of the department. When developing the simulation model, we faced the challenge that the data kept by the Emergency Department were incomplete so that the service-time distributions were not directly obtainable. We propose a simulation–optimization approach (integrating simulation with meta-heuristics) to obtain a good set of estimate of input parameters of our simulation model. Using the simulation model, we evaluated the impact of possible changes to the system by running different scenarios. This provides a tool for the operations manager in the Emergency Department to “foresee” the impact on the daily operations when making possible changes (such as, adjusting staffing levels or shift times), and consequently make much better decisions.-
dc.languageeng-
dc.relation.ispartofFlexible Services and Manufacturing Journal-
dc.subjectPatient flows-
dc.subjectSimulated annealing-
dc.subjectMeta-heuristics-
dc.subjectSimulation-
dc.subjectHealth-care management-
dc.subjectSimulation optimization-
dc.subjectParameter estimation-
dc.titleImproving the efficiency of a hospital emergency department: a simulation study with indirectly imputed service-time distributions-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10696-014-9198-7-
dc.identifier.scopuseid_2-s2.0-84957728011-
dc.identifier.volume28-
dc.identifier.issue1-2-
dc.identifier.spage120-
dc.identifier.epage147-
dc.identifier.eissn1936-6590-
dc.identifier.isiWOS:000380671600006-
dc.identifier.issnl1936-6582-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats