About: Semantic privacy-preserving framework for electronic health record linkage

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #80957 Semantic privacy-preserving framework for electronic health record linkage
sameAs	Semantic privacy-preserving framework for electronic health record linkage
http://eprints.org/ontology/hasDocument	Semantic privacy-preserving framework for electronic health record linkage (PDF) Semantic privacy-preserving framework for electronic health record linkage (Other) Semantic privacy-preserving framework for electronic health record linkage (Other) Semantic privacy-preserving framework for electronic health record linkage (Other) Semantic privacy-preserving framework for electronic health record linkage (Other) Semantic privacy-preserving framework for electronic health record linkage (Other)
http://eprints.org/ontology/hasPublished	Semantic privacy-preserving framework for electronic health record linkage (PDF)
dc:hasVersion	Semantic privacy-preserving framework for electronic health record linkage (PDF)
Title	Semantic privacy-preserving framework for electronic health record linkage
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2018-07-01
Creator	Richard O. Sinnott Yang Lu
status	peer reviewed published
Publisher	Elsevier
abstract	The combination of digitized health information and web-based technologies offers many possibilities for data analysis and business intelligence. In the healthcare and biomedical research domain, applications depending on electronic health records (EHRs) identify privacy preservation as a major concern. Existing solutions cannot always satisfy the evolving research demands such as linking patient records across organizational boundaries due to the potential for patient re-identification. In this work, we show how semantic methods can be applied to support the formulation and enforcement of access control policy whilst ensuring that privacy leakage can be detected and prevented. The work is illustrated through a case study associated with the Australasian Diabetes Data Network (ADDN – www.addn.org.au), the national paediatric type-1 diabetes data registry, and the Australian Urban Research Infrastructure Network (AURIN – www.aurin.org.au) platform that supports Australia-wide access to urban and built environment data sets. We demonstrate that through extending the eXtensible Access Control Markup Language (XACML) with semantic capabilities, finer-grained access control encompassing data risk disclosure mechanisms can be supported. We discuss the contributions that can be made using this approach to socio-economic development and political management within business systems, and especially those situations where secure data access and data linkage is required.
Is Part Of	Telematics and Informatics https://kar.kent.ac.uk/id/repository
Subject	R858 Computer applications to medicine. Medical informatics. Medical information technology T Technology (General) ZA Information resources ZA4045 Electronic information resources
list of authors	https://kar.kent.ac.uk/id/eprint/80957#authors
issue	4
volume	35
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #80957 Semantic privacy-preserving framework for electronic health record linkage

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