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dc.contributor.authorSahay, Ratnesh
dc.contributor.authorFox, Ronan
dc.contributor.authorPolleres, Axel
dc.contributor.authorHauswrith, Manfred
dc.date.accessioned2014-02-03T13:47:13Z
dc.date.available2014-02-03T13:47:13Z
dc.date.issued2011-05
dc.identifier.citationSahay, R., Fox, R., Zimmermann, A., Polleres, A., Hauswirth, M. (2011) A Methodological Approach for Ontologising and Aligning Health Level Seven Applications Proceedings of the International Conference on Massive Information Sharing and Integration, Special Track on Eletronic Healthcareen_US
dc.identifier.urihttp://hdl.handle.net/10379/4135
dc.descriptionConference paperen_US
dc.description.abstractHealthcare applications are complex in the way data and schemas are organised in their internal systems. Widely deployed healthcare standards like Health Level Seven (HL7) V2 are designed using exible schemas which allow several choices when constructing clinical messages. The recently emerged HL7 V3 has a centrally consistent information model that controls terminologies and concepts shared by V3 applications. V3 information models are arranged in several layers (abstract to concrete layers). V2 and V3 systems raise interoperability challenges: rstly, how to exchange clinical messages between V2 and V3 applications, and secondly, how to integrate globally defined clinical concepts with locally constructed concepts. The use of ontologies for interoperable healthcare applications has been advocated by domain and knowledge representation specialists. This paper addresses two main areas of an ontology-based integration framework: (1) an ontology building methodology for the HL7 standard where ontologies are developed in separated global and local layers; and (2) aligning V2 and V3 ontologies. We propose solutions that: (1) provide a semi-automatic mechanism to build HL7 ontologies; (2) provide a semi-automatic mechanism to align HL7 ontologies and transform underlying clinical messages. The proposed methodology has developed HL7 ontologies of 300 concepts in average for each version. These ontologies and their alignments are deployed and evaluated under a semantically-enabled healthcare integration framework.en_US
dc.description.sponsorshipScience Foundation Ireland (SFI) project Lion-2 (SFI/08/CE/I1380)en_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the International Conference on Massive Information Sharing and Integration, Special Track on Eletronic Healthcareen
dc.subjectHealth Level Seven (HL7)en_US
dc.subjectSemantic interoperabilityen_US
dc.subjectOntology building methodologyen_US
dc.subjectOntology alignmenten_US
dc.titleA Methodological Approach for Ontologising and Aligning Health Level Seven Applicationsen_US
dc.typeConference Paperen_US
dc.date.updated2014-01-22T18:53:43Z
dc.local.publishedsourcehttp://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=14877&copyownerid=11691en_US
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funder|~|
dc.internal.rssid1145806
dc.local.contactRatnesh Nandan Sahay, Deri, Dangan Business Park, Nui Galway. 5253 Email: ratnesh.sahay@deri.org
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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