iSMART: Ontology-based Semantic query of CDA documents.
The Health Level 7 Clinical Document Architecture (CDA) is widely accepted as the format for electronic clinical document. With the rich ontological references in CDA documents, the ontology-based semantic query could be performed to retrieve CDA documents. In this paper, we present iSMART (interactive Semantic MedicAl Record reTrieval), a prototype system designed for ontology-based semantic query of CDA documents. The clinical information in CDA documents will be extracted into RDF triples by a declarative XML to RDF transformer. An ontology reasoner is developed to infer additional information by combining the background knowledge from SNOMED CT ontology. Then an RDF query engine is leveraged to enable the semantic queries. This system has been evaluated using the real clinical documents collected from a large hospital in southern China.
Liu
Shengping
S
IBM China Research Laboratory, ZGC Software Park 19A, Beijing 100193, China.
Ni
Yuan
Y
Mei
Jing
J
Li
Hanyu
H
Xie
Guotong
G
Hu
Gang
G
Liu
Haifeng
H
Hou
Xueqiao
X
Pan
Yue
Y
D057286:Electronic Health Records; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D012660:Semantics; D039061:Systematized Nomenclature of Medicine