| Ontology-based privacy compliance on European healthgrid domains. | |
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MedLine Citation:
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PMID: 19593056 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The harmonization of data protection law in Europe has been theoretically achieved by means of the EU directive on data protection [1]. In practice the harmonization is not absolute and conflicts continue to exist on the ways member states are implementing the directive. The integration of different European medical systems by means of grid technologies will continue to be challenging if technology does not intervene to enhance interoperability between national regulatory frameworks on data protection. In this paper we present an approach to automate privacy requirements for the sharing of patient data across Europe on a healthgrid [2] domain and ensure its enforcement internally and within external domains where the data might travel. This approach is based on the semantic modelling of privacy obligations that are of legal, ethical or cultural nature. These requirements are for the sharing of personal data between different European member states. Our model reflects both similarities and conflicts, if any, between the different member states. This will allow us to reason on the safeguards a data controller should ask from an organization belonging to another member state before disclosing medical data to them. The system will also generate the relevant set of policies to be enforced at the process level of the grid to ensure privacy compliance before allowing access to the data. |
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Authors:
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Hanene Boussi Rahmouni; Tony Solomonides; Marco Casassa Mont; Simon Shiu |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Studies in health technology and informatics Volume: 147 ISSN: 0926-9630 ISO Abbreviation: Stud Health Technol Inform Publication Date: 2009 |
Date Detail:
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Created Date: 2009-07-13 Completed Date: 2009-09-29 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9214582 Medline TA: Stud Health Technol Inform Country: Netherlands |
Other Details:
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Languages: eng Pagination: 183-9 Citation Subset: T |
Affiliation:
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Bristol Institute of Technology, UWE, Bristol/BS16 1QY. Hanene2.Rahmouni@uwe.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Computational Biology* Confidentiality* Europe Guideline Adherence* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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