Use of XML Schema Definition for the Development of Semantically Interoperable Healthcare Applications

  • Luciana Tricai Cavalini
  • Timothy Wayne Cook
Conference paper

DOI: 10.1007/978-3-642-53956-5_9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8315)
Cite this paper as:
Cavalini L.T., Cook T.W. (2014) Use of XML Schema Definition for the Development of Semantically Interoperable Healthcare Applications. In: Gibbons J., MacCaull W. (eds) Foundations of Health Information Engineering and Systems. FHIES 2013. Lecture Notes in Computer Science, vol 8315. Springer, Berlin, Heidelberg

Abstract

Multilevel modeling has been proven in software as a viable solution for semantic interoperability, without imposing any specific programming languages or persistence models. The Multilevel Healthcare Information Modeling (MLHIM) specifications have adopted the XML Schema Definition 1.1 as the basis for its reference implementation, since XML technologies are consistent across all platforms and operating systems, with tools available for all mainstream programming languages. In MLHIM, the healthcare knowledge representation is defined by the Domain Model, expressed as Concept Constraint Definitions (CCDs), which provide the semantic interpretation of the objects persisted according to the generic Reference Model classes. This paper reports the implementation of the MLHIM Reference Model in XML Schema Definition language version 1.1 as well as a set of examples of CCDs generated from the National Cancer Institute – Common Data Elements (NCI CDE) repository. The set of CCDs was the base for the simulation of semantically coherent data instances, according to independent XML validators, persisted on an eXistDB database. This paper shows the feasibility of adopting XML technologies for the achievement of semantic interoperability in real healthcare scenarios, by providing application developers with a significant amount of industry experience and a wide array of tools through XML technologies.

Keywords

semantic interoperability electronic health records multilevel modeling 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Luciana Tricai Cavalini
    • 1
  • Timothy Wayne Cook
    • 2
  1. 1.Department of Health Information Technology, Medical Sciences CollegeRio de Janeiro State UniversityBrazil
  2. 2.National Institute of Science and Technology –, Medicine Assisted by Scientific ComputingBrazil

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