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Intelligent Healthcare Monitoring System Based On Semantically Enriched Clinical Guidelines

Clinical guidelines are developed to assist healthcare practitioners to make
decisions on a patient&#039 / s medical problems and as such they communicate
with external applications to retrieve patient data, to initiate medical
actions through clinical workflows and to transmit information to alert/reminder systems.
The interoperability problems in the healthcare IT domain for interacting with heterogeneous clinical workflow systems and Electronic Healthcare Record (EHR) Systems prevent wider deployment of
clinical guidelines because each deployment requires a tedious
custom adaptation phase.

In this thesis, we provide machine processable mechanisms that
express the semantics of clinical guideline interfaces
so that automated processes can be used to access the clinical resources
for guideline deployment and execution. For this purpose, we propose a semantically enriched clinical guideline representation formalism by extending one of the computer interpretable guideline representation languages, GuideLine Interchange Format (GLIF). To be able to deploy the semantically extended
guidelines to healthcare settings semi-automatically, the underlying application&#039 / s
semantics must also be available. We describe how this can
be achieved based on two prominent implementation technologies
in use in the eHealth domain: Integrating Healthcare
Enterprise (IHE) Cross Enterprise Document
Sharing Integration Profile (XDS) for discovering and exchanging
EHRs and
Web service technology for interacting with the clinical workflows and
wireless medical sensor devices. Since the deployment and execution architecture should
be dynamic, and address the heterogeneity of underlying clinical environment, the deployment and execution is coordinated by a multi-agent system.
The system described in this thesis is realized within the scope of the SAPHIRE Project.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12609657/index.pdf
Date01 June 2008
CreatorsLaleci, Gokce Banu
ContributorsDogac, Asuman
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypePh.D. Thesis
Formattext/pdf
RightsTo liberate the content for public access

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