KNOWLEDGE ENGINEERING APPROACH TO DESIGN AND IMPLEMENTATION OF SEMANTIC WEB ARCHITECTURE FOR EMR EXCHANGE SERVICES

Autor: Kuo-Chung Lin, 林國中
Rok vydání: 2013
Druh dokumentu: 學位論文 ; thesis
Popis: 101
The Department of Health (Executive Yuan) promoted four EMR (EMR: electronic medical record) exchange standards of the medical imaging report, blood examination, clinical meditation record, and discharge summary in 2009, the method of which was to centralize the medical records scattered and stored in various hospitals onto the EEC (EEC: EMR Exchange Center), so as to provide the centralized cross-hospital index inquiry. Nevertheless, the public often choose their convenient hospitals at the very moment to take medical treatment, resulting in each patient having many records. Seeking out-of-hospital EMR through the National Health Insurance Card, physicians have to spend a lot of time for selecting requirements information from a mass of historical case study before they could find out the exact one to meet their requirement. Thus, it has greatly reduced the clinical physicians’ intention to use the EEC platform. The Purpose of this study is to design and recommend a checking system to relieve the predicament that current physicians are unable to access the necessarily medical record easily, and to improve the issues of inquiring efficiency in respect of the XML format file carried on the said platform. This study used CommonKADS knowledge-engineering methodology to locate the domain of the physician in diagnosed enquiry, and then, design an exclusive enquiring science anthology as a basis of accessing interface to develop, exchange, and recommend the EMR. Secondary, design and recommend an effective managing system of the EMR exchanging platform to carry bulk data, and then, develop and recommend the SPARQL language of the accessing rules, aiming at the existing EEC platform to download the XML file of EMR, so as to broaden the inter-hospital application of the signed EMR Finally, use RDF-related technology to carry SPARQL-enquiring language, and further to enhance the enquiring and accessing efficiency and precision of the EEC platform.
Databáze: Networked Digital Library of Theses & Dissertations
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