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Interoperability of EHR Systems Based on Semantic Representation and Transformation Models

Interoperability of EHR Systems Based on Semantic Representation and Transformation Models

Catalina Martínez-Costa, Marcos Menárguez-Tortosa, Jesualdo Tomás Fernández-Breis
Copyright: © 2013 |Pages: 23
ISBN13: 9781466630000|ISBN10: 1466630000|EISBN13: 9781466630017
DOI: 10.4018/978-1-4666-3000-0.ch004
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MLA

Martínez-Costa, Catalina, et al. "Interoperability of EHR Systems Based on Semantic Representation and Transformation Models." Interoperability in Healthcare Information Systems: Standards, Management, and Technology, edited by Miguel Ángel Sicilia and Pablo Balazote, IGI Global, 2013, pp. 59-81. https://doi.org/10.4018/978-1-4666-3000-0.ch004

APA

Martínez-Costa, C., Menárguez-Tortosa, M., & Fernández-Breis, J. T. (2013). Interoperability of EHR Systems Based on Semantic Representation and Transformation Models. In M. Sicilia & P. Balazote (Eds.), Interoperability in Healthcare Information Systems: Standards, Management, and Technology (pp. 59-81). IGI Global. https://doi.org/10.4018/978-1-4666-3000-0.ch004

Chicago

Martínez-Costa, Catalina, Marcos Menárguez-Tortosa, and Jesualdo Tomás Fernández-Breis. "Interoperability of EHR Systems Based on Semantic Representation and Transformation Models." In Interoperability in Healthcare Information Systems: Standards, Management, and Technology, edited by Miguel Ángel Sicilia and Pablo Balazote, 59-81. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3000-0.ch004

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Abstract

The semantic interoperability of electronic healthcare record systems is a major issue given that it would increase the quality of healthcare and patient safety. In this chapter, different solutions based on the use of semantic models for representing clinical knowledge are presented. The aim of the research presented here is to contribute to the achievement of semantic interoperability by making explicit the meaning of the exchanged data and knowledge items. In particular, this work is focused on dual model-based electronic healthcare records standards and presents methods and tools for the representation and transformation of clinical archetypes and for the automatic generation of standardized applications.

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