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http://hdl.handle.net/11375/8949
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DC Field | Value | Language |
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dc.contributor.advisor | Sartipi, Kamran | en_US |
dc.contributor.author | Jayaratna, Priya | en_US |
dc.date.accessioned | 2014-06-18T16:44:48Z | - |
dc.date.available | 2014-06-18T16:44:48Z | - |
dc.date.created | 2011-05-16 | en_US |
dc.date.issued | 2009 | en_US |
dc.identifier.other | opendissertations/4115 | en_US |
dc.identifier.other | 5137 | en_US |
dc.identifier.other | 2016402 | en_US |
dc.identifier.uri | http://hdl.handle.net/11375/8949 | - |
dc.description.abstract | <p>Healthcare System Integration is an area of utmost importance in the overall eHealth<br />strategy of Ontarios provincial government as well as the federal government of Canada. A large body of researchers from various governmental and non-governmental<br />organizations are actively engaged in delivering solutions to integrate disparate healthcare information systems. The overall goal of these efforts is to provide a provincewide and nation-wide unified view of clinical information to healthcare practitioners, thereby enabling them to deliver accurate and timely services to the general public in a cost-efficient manner.<br />While the need for health information integration is clear, due to inherent complexities<br />of the healthcare domain as well as health information standards such as Health Level 7 (HL7), completion of such projects within budget and time is not an easy task. The goal of this study is to understand and analyze the information architecture behind HL7 version 3 (HL7 v3) with the aim of simplifying healthcare system integration process. In this thesis, we present a novel framework for extracting HL7 v3 messages to represent healthcare transactions that take place in an integration scenario. We have developed a prototype tool based on semantic web (SW) technologies to support our approach. We also present three healthcare case studies to demonstrate our solution.</p> | en_US |
dc.subject | Computing and Software | en_US |
dc.subject | Computer Engineering | en_US |
dc.subject | Computer Engineering | en_US |
dc.title | TOOL-ASSISTED KNOWLEDGE TO HL7 v3 MESSAGE TRANSLATION | en_US |
dc.type | thesis | en_US |
dc.contributor.department | Computing and Software | en_US |
dc.description.degree | Master of Applied Science (MASc) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
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fulltext.pdf | 1.95 MB | Adobe PDF | View/Open |
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