• AMIA Annu Symp Proc · Jan 2008

    Knowledge translation of SAGE-based guidelines for executing with knowledge engine.

    • Jeong Ah Kim, InSook Cho, and Yoon Kim.
    • Computer Education Department of Kwandong University, Korea.
    • AMIA Annu Symp Proc. 2008 Jan 1:1008.

    AbstractSAGE 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. Commercial rule engines are verified for availability in clinical area but their authoring tools are not matured for clinical knowledge. In this paper, we suggest knowledge translator to convert SAGE-based guidelines into knowledge which commercial engine can execute. With this translation, we can take both advantages in modeling power of SAGE and interpretation capability of engines.

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