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The development of the core component of clinical decision support systems (CDSS), the knowledge base, has become a significant bottleneck in its successful application due to lack of effective knowledge representation models. To solve this problem, this paper presents a novel approach by developing a healthcare knowledge base using semantic technologies, of which the semantic healthcare knowledge ontology (SHKO) was constructed, based on HL7 reference information model (RIM), and the semantic healthcare expression repository (SHER) was built in Jena rule format and simple protocol and resource description framework query language (SPARQL). The proposed solution is validated in a case study of the management of patients with type 2 diabetes mellitus to demonstrate its technical feasibility. Keywords-HL7 RIM; ontology; knowledge base; clinical decision support

An Hl7 Rim-Driven, Ontology-Based Approach to Healthcare Knowledge Base Development