Developing Knowledge-Based EMR Services Using Semantic Web Technology

Department of Health (Executive Yuan) promoted four EMR(electronic medical record) exchange standards of the medical imaging report, blood examination, clinical meditation record, and discharge summary in 2009, to provide the centralized cross-hospital index inquiry. Nevertheless, the public often choose their trustful hospitals at the very moment to take medical treatment, resulting in each patient having manifold records. Seeking out-of-hospital EMR through the National Health Insurance Card, physicians have to spend a lot of time for selecting necessary information from a mass of historical case studies before they could find out the exact one to meet their requirement, thus, it has greatly reduced the clinical physicians' intention to use EEC platform. The first used Common KADS' methodology to locate the knowledge domain of the physician in diagnosed enquiry. Secondary, design and recommend an effective managing system of the EMR exchanging platform to carry bulk data, then, develop and recommend the SPARQL language of the accessing rules, aiming at the existed EEC platform to download the XML file of EMR, so as to broaden the inter-hospital application of the signed EMR Ultimate, use RDF-related technology to carry SPARQL-enquiring language, further to enhance the enquiring and accessing efficiency and precision of EEC platform.