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dc.contributor.authorMahmoudi, Farhad
dc.contributor.authorMohamed, Sherif
dc.contributor.authorTonmoy, Fahim
dc.date.accessioned2021-02-09T05:42:57Z
dc.date.available2021-02-09T05:42:57Z
dc.date.issued2019
dc.identifier.isbn9783030484644
dc.identifier.issn2522-8714
dc.identifier.doi10.1007/978-3-030-48465-1_59
dc.identifier.urihttp://hdl.handle.net/10072/401908
dc.description.abstractNon-linear models for understanding complex socio-technical processes have not been fully adopted in the examination of hospitals’ functional performance when managing the effects of disruptive events. In the literature, researchers have focused on the various dimensions of hospital functional performance (HFP) using different methods. However, they have not sufficiently addressed the inherent behaviours of systems that diminish the efficiency and effectiveness of HFP when operating under different protocols. The current paper aims to identify the pathway through which functional variabilities may propagate throughout the system when dealing with medical surge. To achieve this objective, the application of the functional resonance analysis method (FRAM) is integrated with the application of the resilience analysis matrix (RAM) to analyse HFP. The results identify 23 couplings in 153 interactions between 29 functions that have the potential to affect overall HFP. The approach of this research has revealed how managing the variability of certain interactions can enhance the efficiency and effectiveness of HFP in dealing with disruptive events.
dc.description.peerreviewedYes
dc.publisherSpringer
dc.relation.ispartofconferencename11th International Conference Construction in the 21st Century (CITC-11)
dc.relation.ispartofconferencetitleAdvances in Science, Technology & Innovation
dc.relation.ispartofdatefrom2019-09-09
dc.relation.ispartofdateto2019-09-11
dc.relation.ispartoflocationLondon, UK
dc.relation.ispartofpagefrom506
dc.relation.ispartofpageto513
dc.subject.fieldofresearchBuilding Construction Management and Project Planning
dc.subject.fieldofresearchEnvironmental Sciences
dc.subject.fieldofresearchcode120201
dc.subject.fieldofresearchcode05
dc.titleModelling Hospital Functional Performance under Surge Conditions - The Application of FRAM and RAM
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationMahmoudi, F; Mohamed, S; Tonmoy, F, Modelling Hospital Functional Performance under Surge Conditions - The Application of FRAM and RAM, 2019, pp. 506-513
dc.date.updated2021-02-09T05:41:42Z
gro.hasfulltextNo Full Text
gro.griffith.authorMohamed, Sherif A.
gro.griffith.authorMahmoudi, Farhad
gro.griffith.authorTonmoy, Fahim N.


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    Contains papers delivered by Griffith authors at national and international conferences.

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