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Conference Paper: Data Analytics And Simulation Modeling Of Emergency Department Operations In Hong Kong

TitleData Analytics And Simulation Modeling Of Emergency Department Operations In Hong Kong
Authors
Kuo, YHLeung, JGraham, C
KeywordsHealth Care
Simulation
Data Science
Issue Date2021
Citation
The 22nd Conference of the International Federation of Operational Research Societies (IFORS), Virtual Conference, 23-27 August 2021 How to Cite?
AbstractIn this talk, we will present our work of utilizing data analytics and simulation modeling for analyzing operations at a hospital emergency department in Hong Kong. We developed a calibration procedure to improve the performance of our simulation model. This simulation model can be used to assess the outcomes of different scenarios and strategies for enhancing system efficiency. Simulation-optimization approaches were also developed to determine resource allocation decisions.
DescriptionInvited Talk - Session FA-3: Data analytics and learning for health - no. 3843
Persistent Identifierhttp://hdl.handle.net/10722/312456

 

DC FieldValueLanguage
dc.contributor.authorKuo, YH-
dc.contributor.authorLeung, J-
dc.contributor.authorGraham, C-
dc.date.accessioned2022-04-25T12:21:15Z-
dc.date.available2022-04-25T12:21:15Z-
dc.date.issued2021-
dc.identifier.citationThe 22nd Conference of the International Federation of Operational Research Societies (IFORS), Virtual Conference, 23-27 August 2021-
dc.identifier.urihttp://hdl.handle.net/10722/312456-
dc.descriptionInvited Talk - Session FA-3: Data analytics and learning for health - no. 3843 -
dc.description.abstractIn this talk, we will present our work of utilizing data analytics and simulation modeling for analyzing operations at a hospital emergency department in Hong Kong. We developed a calibration procedure to improve the performance of our simulation model. This simulation model can be used to assess the outcomes of different scenarios and strategies for enhancing system efficiency. Simulation-optimization approaches were also developed to determine resource allocation decisions.-
dc.languageeng-
dc.relation.ispartofThe 22nd Conference of the International Federation of Operational Research Societies (IFORS), 2021-
dc.subjectHealth Care-
dc.subjectSimulation-
dc.subjectData Science-
dc.titleData Analytics And Simulation Modeling Of Emergency Department Operations In Hong Kong-
dc.typeConference_Paper-
dc.identifier.emailKuo, YH: yhkuo@hku.hk-
dc.identifier.authorityKuo, YH=rp02314-
dc.identifier.hkuros327582-

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