Dissertation/ Thesis
A generic framework for hybrid simulation in healthcare
| Τίτλος: | A generic framework for hybrid simulation in healthcare |
|---|---|
| Συγγραφείς: | Chahal, Kirandeep |
| Συνεισφορές: | Eldabi, T. |
| Στοιχεία εκδότη: | Brunel University of London, 2010. |
| Έτος έκδοσης: | 2010 |
| Θεματικοί όροι: | 362.1, System dynamics, Discrete event simulation, Simulation in healthcare, Multi-method simulation modelling, Integrated simulation modelling |
| Περιγραφή: | Healthcare problems are complex; they exhibit both detail and dynamic complexity. It has been argued that Discrete Event Simulation (DES), with its ability to capture detail, is ideal for problems exhibiting this type of complexity. On the other hand, System Dynamics (SD) with its focus on feedback and nonlinear relationships lends itself naturally to comprehend dynamic complexity. Although these modelling paradigms provide valuable insights, neither of them are proficient in capturing both detail and dynamic complexity to the same extent. It has been argued in literature that a hybrid approach, wherein SD and DES are integrated symbiotically, will provide more realistic picture of complex systems with fewer assumptions and less complexity. In spite of wide recognition of healthcare as a complex multi- dimensional system, there has not been any reported study which utilises hybrid simulation. This could be attributed to the fact that due to fundamental differences, the mixing of methodologies is quite challenging. In order to overcome these challenges a generic theoretical framework for hybrid simulation is required. However, there is presently no such generic framework which provides guidance about integration of SD and DES to form hybrid models. This research has attempted to provide such a framework for hybrid simulation which can be utilised in healthcare domain. On the basis of knowledge induced from literature, three requirements for the generic framework have been established. It is argued that the framework for hybrid simulation should be able to provide answers to Why (why hybrid simulation is required), What (what information is exchanged between SD and DES models) and How (how SD and DES models are going to interact with each other over the time to exchange information) within the context of implementation of hybrid simulation to different problem scenarios. In order to meet these requirements, a three-phase generic framework for hybrid simulation has been proposed. Each phase of the framework is mapped to an established requirement and provides guidelines for addressing that requirement. The proposed framework is then evaluated theoretically based on its ability to meet these requirements by using multiple cases, and accordingly modified. It is further evaluated empirically with a single case study comprising of Accident and Emergency department of a London district general hospital. The purpose of this empirical evaluation is to identify the limitations of the framework with regard to the implementation of hybrid models. It is realised during implementation that the modified framework has certain limitations pertaining to the exchange of information between SD and DES models. These limitations are reflected upon and addressed in the final framework. The main contribution of this thesis is the generic framework for hybrid simulation which has been applied within healthcare context. Through an extensive review of existing literature in hybrid simulation, the thesis has also contributed to knowledge in multi-method approaches. A further contribution is that this research has attempted to quantify the impact of intangible benefits of information systems into tangible business process improvements. It is expected that this work will encourage those engaged in simulation (e.g., researchers, practitioners, decision makers) to realise the potential of cross-fertilisation of the two simulation paradigms. |
| Τύπος εγγράφου: | Thesis Or Dissertation |
| Γλώσσα: | English |
| Σύνδεσμος πρόσβασης: | https://ethos.blethoshyku.com/concern/thesis_or_dissertations/557735 |
| Αριθμός Καταχώρησης: | edsble.557735 |
| Βάση Δεδομένων: | British Library EThOS |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://ethos.blethoshyku.com/concern/thesis_or_dissertations/557735 Name: EDS - British Library EThOS (ns324271) Category: fullText Text: View record in EThOS |
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| Header | DbId: edsble DbLabel: British Library EThOS An: edsble.557735 RelevancyScore: 921 AccessLevel: 3 PubType: Dissertation/ Thesis PubTypeId: dissertation PreciseRelevancyScore: 921.324340820313 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A generic framework for hybrid simulation in healthcare – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chahal%2C+Kirandeep%22">Chahal, Kirandeep</searchLink> – Name: Author Label: Contributors Group: Au Data: Eldabi, T. – Name: Publisher Label: Publisher Information Group: PubInfo Data: Brunel University of London, 2010. – Name: DatePubCY Label: Publication Year Group: Date Data: 2010 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22362%2E1%22">362.1</searchLink><br /><searchLink fieldCode="DE" term="%22System+dynamics%22">System dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+event+simulation%22">Discrete event simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+in+healthcare%22">Simulation in healthcare</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-method+simulation+modelling%22">Multi-method simulation modelling</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+simulation+modelling%22">Integrated simulation modelling</searchLink> – Name: Abstract Label: Description Group: Ab Data: Healthcare problems are complex; they exhibit both detail and dynamic complexity. It has been argued that Discrete Event Simulation (DES), with its ability to capture detail, is ideal for problems exhibiting this type of complexity. On the other hand, System Dynamics (SD) with its focus on feedback and nonlinear relationships lends itself naturally to comprehend dynamic complexity. Although these modelling paradigms provide valuable insights, neither of them are proficient in capturing both detail and dynamic complexity to the same extent. It has been argued in literature that a hybrid approach, wherein SD and DES are integrated symbiotically, will provide more realistic picture of complex systems with fewer assumptions and less complexity. In spite of wide recognition of healthcare as a complex multi- dimensional system, there has not been any reported study which utilises hybrid simulation. This could be attributed to the fact that due to fundamental differences, the mixing of methodologies is quite challenging. In order to overcome these challenges a generic theoretical framework for hybrid simulation is required. However, there is presently no such generic framework which provides guidance about integration of SD and DES to form hybrid models. This research has attempted to provide such a framework for hybrid simulation which can be utilised in healthcare domain. On the basis of knowledge induced from literature, three requirements for the generic framework have been established. It is argued that the framework for hybrid simulation should be able to provide answers to Why (why hybrid simulation is required), What (what information is exchanged between SD and DES models) and How (how SD and DES models are going to interact with each other over the time to exchange information) within the context of implementation of hybrid simulation to different problem scenarios. In order to meet these requirements, a three-phase generic framework for hybrid simulation has been proposed. Each phase of the framework is mapped to an established requirement and provides guidelines for addressing that requirement. The proposed framework is then evaluated theoretically based on its ability to meet these requirements by using multiple cases, and accordingly modified. It is further evaluated empirically with a single case study comprising of Accident and Emergency department of a London district general hospital. The purpose of this empirical evaluation is to identify the limitations of the framework with regard to the implementation of hybrid models. It is realised during implementation that the modified framework has certain limitations pertaining to the exchange of information between SD and DES models. These limitations are reflected upon and addressed in the final framework. The main contribution of this thesis is the generic framework for hybrid simulation which has been applied within healthcare context. Through an extensive review of existing literature in hybrid simulation, the thesis has also contributed to knowledge in multi-method approaches. A further contribution is that this research has attempted to quantify the impact of intangible benefits of information systems into tangible business process improvements. It is expected that this work will encourage those engaged in simulation (e.g., researchers, practitioners, decision makers) to realise the potential of cross-fertilisation of the two simulation paradigms. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Thesis Or Dissertation – Name: Language Label: Language Group: Lang Data: English – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://ethos.blethoshyku.com/concern/thesis_or_dissertations/557735" linkWindow="_blank">https://ethos.blethoshyku.com/concern/thesis_or_dissertations/557735</link> – Name: AN Label: Accession Number Group: ID Data: edsble.557735 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsble&AN=edsble.557735 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: 362.1 Type: general – SubjectFull: System dynamics Type: general – SubjectFull: Discrete event simulation Type: general – SubjectFull: Simulation in healthcare Type: general – SubjectFull: Multi-method simulation modelling Type: general – SubjectFull: Integrated simulation modelling Type: general Titles: – TitleFull: A generic framework for hybrid simulation in healthcare Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chahal, Kirandeep – PersonEntity: Name: NameFull: Eldabi, T. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2010 Identifiers: – Type: issn-locals Value: edsble |
| ResultId | 1 |