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Background Clinical data registry is designed to collect and manage information about the practices and outcomes of a patient population for improving the quality and safety of care and facilitating novel researches. Semantic interoperability is a challenge when integrating the data from more than one clinical data registry. The openEHR approach can represent the information and knowledge semantics...
Medical examinations and tests are key procedures in clinical practice. Various kinds of medical report systems have been implemented in hospitals today. Most of these systems provide a template-based report editing approach for physicians to customize the content and layout of patient report. But designing such a report template and associating it with underlying database schema is always time-consuming...
Electric mechanical or chemical signals of biological origin delivered by human bodies can always be of interest for diagnosis, patient monitoring, and biomedical research. Such biomedical signals, namely biosignals, are usually presented by flat file format or proprietary format when digitized for acquisition, storage, transfer and analysis. Recent advances in the ubiquitous computing technology...
Clinicians usually intend to get overall health status as well as specific health care information from patient's electronic health record (EHR). However, the amount of EHR data can be incredibly large, which makes it a very tedious and inefficient work for clinicians to extract valuable information. This paper first investigates the clinical relevance of EHR data content. Then it presents a Level...
Due to the rapid development of modern medical information technology, the modality and amount of electronic health record (EHR) data can be incredibly large. Clinicians must rely on the comparison and inter-confirmation among those complex multi-modal EHR data to make accurate clinical diagnoses, treatment plans and preventive measures. Integrated visualization is needed to extract valuable information...
Making accurate clinical diagnoses, treatment plans and preventive measures relies on the comparison and inter-confirmation among various kinds of clinical data. Due to the complexity of the hospital environment, the clinical data always originate from different medical information systems with incompatible structures. These heterogeneous clinical data are stored dispersedly and isolated from one...
The idea behind hospital information systems is to make all of a patient's medical reports, lab results, and images electronically available to clinicians, instantaneously, wherever they are. But the higgledy-piggledy evolution of most hospital computer systems makes it hard to integrate all these clinical records. Although several integration standards had been proposed to meet this challenger, none...
Because of the complexity of the hospital environment, there exist a lot of medical information systems from different vendors with incompatible structures. In order to establish an enterprise hospital information system, the integration among these heterogeneous systems must be considered. Complete integration should cover three aspects: data integration, function integration and workflow integration...
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