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Integration of workflow and rule engines for clinical decision support services
Jaehoon Lee1, JeongAh Kim, Insook Cho
1Division of Industrial Engineering, Ajou University, Suwon, Korea. shamvala@gmail.com
Abstract:
Although recent studies have suggested the feasibility of integrating workflow and rule technology in a Clinical Decision Support System (CDSS), their implementation has not been verified yet. This paper proposes a knowledge engine which integrates workflow and rule engine as a tool for interpretation and execution of computer interpretable clinical guidelines. The objective of this paper is to validate its feasibility in two perspectives: clinical knowledge coverage and execution performance. The two open source engines which were selected and integrated were chosen due to their reliability and consistency. Implementation of workflow and rule engine integration has shown that the integrated knowledge engine (uBrain) is an effective CDSS for the execution of clinical guidelines.
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