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dc.contributor.authorMadanian, Sen_NZ
dc.contributor.authorParry, Den_NZ
dc.contributor.editorOhno-Machado, Len_NZ
dc.contributor.editorSéroussi, Ben_NZ
dc.date.accessioned2019-08-27T00:20:37Z
dc.date.available2019-08-27T00:20:37Z
dc.date.copyright2019-08-26en_NZ
dc.identifier.citationStudies in health technology and informatics, 264, 998-1002.
dc.identifier.urihttp://hdl.handle.net/10292/12770
dc.description.abstractCurrently, healthcare in disaster management context faces a number of challenges mostly due to the lack of availability of reliable data from diverse sources required to be accessible by appropriate authorities. Therefore, the main objective of this study is the introduction of a framework based on the integration of three technologies, Internet of Things (IoT), cloud computing and big data to solve this issue in all disaster phases and provide precise and effective healthcare. This framework supports healthcare managers by enabling data sharing among them and assists them in performing analytical calculations to discover meaningful, logical and accurate trend(s) required for strategic planning and better preparedness in the face of disasters. Also, the outcome of the framework may help decision makers to identify and predict the health consequences of the disasters for any specific geographical location in any country based on its geographical properties and disaster background.
dc.publisherInternational Medical Informatics Association (IMIA) and IOS Press
dc.relation.urihttp://ebooks.iospress.nl/volumearticle/52139
dc.rights© 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
dc.subjectMedical Informatics; Disasters; Disaster Planning
dc.titleIoT, Cloud Computing and Big Data: Integrated Framework for Healthcare in Disastersen_NZ
dc.typeConference Contribution
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.3233/SHTI190374en_NZ
aut.relation.endpage1002
aut.relation.startpage998
pubs.elements-id363180
aut.relation.conferenceMedinfoen_NZ


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