DocumentCode :
3197275
Title :
Modeling for the semantic integration of Clinical Pathways with related medical systems
Author :
Jiang, Hong ; Wang, Hua-qiong ; Zhang, Hong-lei ; Li, Peng-fei ; Li, Jing-song
Author_Institution :
Healthcare Inf. Eng. Res. Center, Zhejiang Univ., Hangzhou, China
Volume :
2
fYear :
2012
fDate :
3-5 Aug. 2012
Firstpage :
641
Lastpage :
644
Abstract :
Electronic Clinical Pathways (eCPs) is important and necessary in the digitalized hospital. However, most of the data in eCPs is still isolated. And general methods to implement the data exchange between the eCPs and other medical systems are flawed in different respects. This paper presents a modeling method for the semantic integration of Clinical Pathways with related medical systems, particularly the Electronic Medical Record (EMR). We adopt the ontological approach to construct the middle tier model which is proposed against the problems in traditional heterogeneous data integration. Ontologies provide an opportunity to capture and manage common data and map concepts from one application to another. Different kinds of data exchange methods are discussed and compared in this paper and some real-world use cases are discussed to illustrate the procedures of the semantic integration.
Keywords :
data integration; hospitals; medical information systems; ontologies (artificial intelligence); EMR; data exchange; data integration; digitalized hospital; eCP; electronic clinical pathways; electronic medical record; medical systems; middle tier model; ontological approach; semantic integration; Biomedical imaging; Computational modeling; Europe; Ontologies; Picture archiving and communication systems; Semantics; clinical pathways; medical systems; ontology; semantic integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology in Medicine and Education (ITME), 2012 International Symposium on
Conference_Location :
Hokodate, Hokkaido
Print_ISBN :
978-1-4673-2109-9
Type :
conf
DOI :
10.1109/ITiME.2012.6291387
Filename :
6291387
Link To Document :
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