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A basic assumption of Health Level Seven (HL7) protocol is 'No limitation of message length'. However, most existing commercial HL7 interface engines do limit message length because they use the string array method, which is run in the main memory for the HL7 message parsing process. Specifically, messages with image and multi-media data create a long(More)
OBJECTIVES We design and develop an electronic claim system based on an integrated electronic health record (EHR) platform. This system is designed to be used for ambulatory care by office-based physicians in the United States. This is achieved by integrating various medical standard technologies for interoperability between heterogeneous information(More)
As the Resource Description Framework (RDF) data model is widely used for modeling and sharing a lot of online bioinformatics resources such as Uniprot (dev.isb-sib.ch/projects/uniprot-rdf) or Bio2RDF (bio2rdf.org), SPARQL -- a W3C recommendation query for RDF databases - has become an important query language for querying the bioinformatics knowledge(More)
OBJECTIVES The Health Level Seven Interface Engine (HL7 IE), developed by Kyungpook National University, has been employed in health information systems, however users without a background in programming have reported difficulties in using it. Therefore, we developed a graphical user interface (GUI) engine to make the use of the HL7 IE more convenient. (More)
An efficient middleware has been developed to support medical device communication. HL7 is known to be best international standard to facilitate clinical device data transfer to information systems in hospital. In this study, we developed a middleware with capability of receiving data from mCare 300 Vital signs monitoring device and converting to HL7 data(More)
The Resource Description Framework (RDF) is widely used for sharing biomedical resources, such as the online protein database UniProt or gene database GeneOntology. SPARQL is the native query language for RDF databases and it features regular expressions in queries for which the exact values are either irrelevant or unknown. A recent paper by Lee et al.(More)
OBJECTIVES This study developed an integrated database for 15 regional biobanks that provides large quantities of high-quality bio-data to researchers to be used for the prevention of disease, for the development of personalized medicines, and in genetics studies. METHODS We collected raw data, managed independently by 15 regional biobanks, for database(More)
OBJECTIVES The objectives of this research were to develop and evaluate a cell phone application based on the standard protocol for personal health devices and the standard information model for personal health records to support effective blood glucose management and standardized service for patients with diabetes. METHODS An application was developed(More)
The Resource Description Framework (RDF) is widely used for sharing biomedical data, such as gene ontology or the online protein database UniProt. SPARQL is a native query language for RDF, featuring regular expressions in queries for which exact values are either irrelevant or unknown. The use of regular expression indexes in SPARQL query processing(More)
The purpose of this study was to develop and evaluate a mobile health application (Self-Management mobile Personal Health Record: “SmPHR”) to ensure the interoperability of various personal health devices (PHDs) and electronic medical record systems (EMRs) for continuous self-management of chronic disease patients. The SmPHR was developed for Android 4.0.3,(More)