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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ahsan K. | en |
dc.contributor.author | Kingston P. | en |
dc.contributor.author | Shah H. | en |
dc.date.accessioned | 2021-05-14T10:20:42Z | en |
dc.date.available | 2021-05-14T10:20:42Z | en |
dc.date.copyright | 2010 | en |
dc.date.created | 20100622 | en |
dc.date.issued | 2010-06-22 | - |
dc.date.issued | 2010-06-22 | en |
dc.identifier.citation | International Journal of Healthcare Technology and Management. 11 (1-2) (pp 3-12), 2010. Date of Publication: May 2010. | en |
dc.identifier.issn | 1368-2156 | en |
dc.identifier.uri | https://repository.monashhealth.org/monashhealthjspui/handle/1/30595 | en |
dc.description.abstract | Enterprise Architecture (EA) is an appropriate tool for business and IT alignment. It is also possible to use EA for design and implementation of healthcare applications, since it has the potential to represent healthcare processes effectively. Our research aim is to develop an EA framework for managing contextual knowledge by exploiting object location deduction technologies in healthcare processes that involve the movement of patients. Such a framework is intended to facilitate healthcare managers in adopting location deduction technologies for patient care resulting in improvements in clinical process management and healthcare services. Copyright © 2010 Inderscience Enterprises Ltd. | en |
dc.language | English | en |
dc.language | en | en |
dc.publisher | Inderscience Publishers | en |
dc.relation.ispartof | International Journal of Healthcare Technology and Management | en |
dc.title | Location context for knowledge management in healthcare. | en |
dc.type | Review | en |
dc.type.studyortrial | Review article (e.g. literature review, narrative review) | - |
dc.identifier.doi | http://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1504/IJHTM.2010.033271 | en |
dc.publisher.place | United Kingdom | en |
dc.identifier.source | 358867334 | en |
dc.identifier.institution | (Ahsan) Faculty of Computing Engineering and Technology, Centre for Ageing and Mental Health, Staffordshire University, BL-167, Blackheath Lane, Stafford ST18 0AD, United Kingdom (Shah) Faculty of Computing, Engineering and Technology, Staffordshire University, Octagon Building, Beaconside, Stafford ST18 0AD, United Kingdom (Kingston) Centre for Ageing and Mental Health, Staffordshire University, BL-167, Blackheath Lane, Stafford ST18 0AD, United Kingdom | en |
dc.description.address | K. Ahsan, Faculty of Computing Engineering and Technology, Centre for Ageing and Mental Health, Staffordshire University, BL-167, Blackheath Lane, Stafford ST18 0AD, United Kingdom. E-mail: k.ahsan@staffs.ac.uk | en |
dc.description.publicationstatus | Embase | en |
dc.rights.statement | Copyright 2020 Elsevier B.V., All rights reserved. | en |
dc.subect.keywords | Context-based technology EA Enterprise architecture Healthcare process integration Knowledge management Service automation. | en |
dc.identifier.authoremail | Ahsan K.; k.ahsan@staffs.ac.uk Kingston P.; p.kingston@staffs.ac.uk | en |
item.openairetype | Review | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Articles |
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