Visualization experience and related process modeling
Journal of Visual Languages and Computing
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We present architecture for implementing independent, extensible, and interoperable clinical decision support service based on guideline-based clinical knowledge. In our architecture knowledge engine is critical component for implementing knowledge service. SAGE is very powerful knowledge representation for guideline modeling and well-defined knowledge framework to integrate with terminology standard and EMR databases. Therefore, SAGE can be powerful tool for knowledge authoring for clinicians but guideline execution engine is not available yet. In this paper, we suggested interoperable CDSS (clinical decision support system) architecture and knowledge engine architecture.