File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/WSC.2012.6465061
- Scopus: eid_2-s2.0-84874753422
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Simulation with data scarcity: Developing a simulation model of a hospital emergency department
Title | Simulation with data scarcity: Developing a simulation model of a hospital emergency department |
---|---|
Authors | |
Issue Date | 2012 |
Citation | Proceedings - Winter Simulation Conference, 2012 How to Cite? |
Abstract | Our research was motivated by the resource allocations problem in the Emergency Department at the Prince of Wales Hospital in Hong Kong. We adopted a simulation approach to analysis how the allocation decisions impact patient's experience in the department. The development of the model is complicated by the fact that there are different categories of patients (with different time-varying arrival rates, treatments and procedures), and the data records were incomplete to allow direct estimation of many of the key operational parameters (e.g. the duration of doctor's consultation). To tackle the first issue, patients' arrivals are modelled as Poisson processes with category and time-dependent arrival rates. The second issue is resolved by positing a general distribution (Weibull) for some key processes, and developing meta-heuristic approaches to jointly estimate the distribution parameters. Our computational results show that accurate estimates of the distribution parameters are found using our proposed search procedure, in that the simulated results and the actual data were consistent. © 2012 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/246763 |
ISSN | 2023 SCImago Journal Rankings: 0.272 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kuo, Yong Hong | - |
dc.contributor.author | Leung, Janny M Y | - |
dc.contributor.author | Graham, Colin A. | - |
dc.date.accessioned | 2017-09-26T04:27:54Z | - |
dc.date.available | 2017-09-26T04:27:54Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Proceedings - Winter Simulation Conference, 2012 | - |
dc.identifier.issn | 0891-7736 | - |
dc.identifier.uri | http://hdl.handle.net/10722/246763 | - |
dc.description.abstract | Our research was motivated by the resource allocations problem in the Emergency Department at the Prince of Wales Hospital in Hong Kong. We adopted a simulation approach to analysis how the allocation decisions impact patient's experience in the department. The development of the model is complicated by the fact that there are different categories of patients (with different time-varying arrival rates, treatments and procedures), and the data records were incomplete to allow direct estimation of many of the key operational parameters (e.g. the duration of doctor's consultation). To tackle the first issue, patients' arrivals are modelled as Poisson processes with category and time-dependent arrival rates. The second issue is resolved by positing a general distribution (Weibull) for some key processes, and developing meta-heuristic approaches to jointly estimate the distribution parameters. Our computational results show that accurate estimates of the distribution parameters are found using our proposed search procedure, in that the simulated results and the actual data were consistent. © 2012 IEEE. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings - Winter Simulation Conference | - |
dc.title | Simulation with data scarcity: Developing a simulation model of a hospital emergency department | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/WSC.2012.6465061 | - |
dc.identifier.scopus | eid_2-s2.0-84874753422 | - |
dc.identifier.spage | null | - |
dc.identifier.epage | null | - |
dc.identifier.issnl | 0891-7736 | - |