Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1573
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dc.contributor.authorWickramasinghe, Nilmini-
dc.contributor.editorWickramasinghe, Nilmini-
dc.contributor.editorAl-Hakim, Latif-
dc.contributor.editorGonzalez, Chris-
dc.contributor.editorTan, Joseph-
dc.contributor.otherMoghimi, Fatemeh Hoda-
dc.date.accessioned2018-11-19T00:03:35Z-
dc.date.available2018-11-19T00:03:35Z-
dc.date.issued2014-
dc.identifier.isbn9781461480365en_US
dc.identifier.urihttp://hdl.handle.net/11434/1573-
dc.description.abstractOver the years, healthcare organisations have improved their processes, services, and outcomes significantly. However, with the increasing importance placed on value making, healthcare organisations too often are struggling to demonstrate best performance and/or appropriate and sustained quality of care. Hence, in this chapter we explore the benefits of using artificial neural network (ANN) techniques to identify lost value for the healthcare organisations and to facilitate Lean thinking adoption.en_US
dc.publisherSpringeren_US
dc.subjectLean Thinkingen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectANNen_US
dc.subjectQuality of Careen_US
dc.subjectHealthcare Deliveryen_US
dc.subjectChair of Health Informatics Management, Epworth HealthCare, Victoria, Australiaen_US
dc.titleArtificial neural network excellence to facilitate lean thinking adoption in healthcare contexts.en_US
dc.typeChapteren_US
dc.identifier.doi10.1007/978-1-4614-8036-5_2en_US
dc.description.affiliatesHealth Informaticsen_US
dc.type.contenttypeTexten_US
dc.title.bookLean Thinking for Healthcareen_US
Appears in Collections:Health Informatics

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