Abstract
The regional information sharing provides the ability to transfer up-to-date patient health information quickly and easily across hospitals and institutes. However, the fact that most systems are developed proprietarily hinders data integration. Most developers solve this problem by employing specific data model standards, leading to system inflexibility and inextensibility. In this paper, we present an ontology-based integration method to cope with data heterogeneity in the regional health information network. To carry out interoperability at runtime and in a non-intrusive manner, we design three-layer system architecture. The semantic layer is used to perform coordination among heterogeneous systems, which can connect seamlessly without changing original data structure. We adopt the hybrid ontology approach that extracts information from heterogeneous databases to establish local ontologies and uses an upper-level ontology to make these ontologies compatible. This paper demonstrates a means of accessing to heterogeneous databases for better regional information sharing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Mäenpää T, Suominen T, Asikainen P et al (2009) The outcomes of regional healthcare information systems in health care: a review of the research literature. Int J Med Inform 78(11):757–771
Sachdeva S, Bhalla S (2012) Semantic interoperability in standardized electronic health record databases. JDIQ 3(1):1
Kienast R, Baumgartner C (2011) Semantic data integration on biomedical data using semantic web technologies
Berges I, Bermúdez J, Illarramendi A (2012) Toward semantic interoperability of electronic health records. IEEE Trans Info Technol B 16(3):424–431
Rubin DL, Shah NH, Noy NF (2008) Biomedical ontologies: a functional perspective. Brief Bioinfo 9(1):75–90
Pérez-Rey D, Maojo V, García-Remesal M et al (2006) ONTOFUSION: Ontology-based integration of genomic and clinical databases. Comput Biol Med 36(7):712–730
Wache H, Voegele T, Visser U et al (2001) Ontology-based integration of information-a survey of existing approaches. In: IJCAI-01 workshop: ontologies and information sharing, pp 108–117
Raghupathi W, Umar A (2008) Upper-level ontologies for health information systems. Method Inform Med 47(5):435–442
Ghawi R, Cullot N (2007) Database-to-ontology map** generation for semantic interoperability. In: VDBL’07 conference, VLDB Endowment ACM, 1–8
Bizer C, Cyganiak R (2006) D2r server-publishing relational databases on the semantic web. In: 5th international semantic web conference, 26
Acknowledgments
This work was supported by the National Natural Science Foundation (Grant No. 61173127) and Zhejiang University Top Disciplinary Partnership Program (Grant No. 188170*193251101).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Wen, YX., Wang, HQ., Zhang, YF., Li, JS. (2014). Ontology-Based Medical Data Integration for Regional Healthcare Application. In: Li, S., **, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_191
Download citation
DOI: https://doi.org/10.1007/978-94-007-7618-0_191
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-7617-3
Online ISBN: 978-94-007-7618-0
eBook Packages: EngineeringEngineering (R0)