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Date of Award

2009

Degree Type

Thesis

Degree Name

Master of Applied Science (MASc)

Department

Computing and Software

Supervisor

Kamran Sartipi

Language

English

Abstract

Healthcare System Integration is an area of utmost importance in the overall eHealth
strategy of Ontarios provincial government as well as the federal government of Canada. A large body of researchers from various governmental and non-governmental
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.
While the need for health information integration is clear, due to inherent complexities
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.

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