Advertisement

An Ontological Infrastructure for the Semantic Integration of Clinical Archetypes

  • Jesualdo Tomás Fernández-Breis
  • Marcos Menárguez-Tortosa
  • David Moner
  • Rafael Valencia-García
  • José Alberto Maldonado
  • Pedro José Vivancos-Vicente
  • Teddy Gonzalo Miranda-Mena
  • Rodrigo Martínez-Béjar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4303)

Abstract

One of the basic needs for any healthcare professional is to be able to access clinical information of patients in an understandable and normalized way. The lifelong clinical information of any person supported by electronic means configures his Electronic Health Record (EHR). There are currently different standards for representing EHRs. Each standard defines its own information models, so that, in order to promote the interoperability among standard-compliant information systems, the different information models must be semantically integrated. In this work, we present an ontological approach to promote interoperability among CEN- and OpenEHR- compliant information systems by facilitating the construction of interoperable clinical archetypes.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Beale, T.: Archetypes, Constraint-based Domain Models for Future-proof Information Systems (2001), Available: http://www.deepthought.com.au/it/archetypes/archetypes.pdf
  2. 2.
    Beale, T., Heard, S.: The openEHR Archetype System (2003), Available: http://www.openehr.org/
  3. 3.
    Fernández-Breis, J.T., Martínez-Béjar, R.: A Cooperative Framework for Integrating Ontologies. International Journal of Human-Computer Studies 56(6), 662–717 (2002)CrossRefGoogle Scholar
  4. 4.
    Linthicum, D.: Leveraging Ontologies: The Intersection of Data Integration and Business Intelligence Part I. DMR Review Magazine (June 2004)Google Scholar
  5. 5.
    Missikoff, M.: Harmonise: An Ontology-based Approach for Semantic Interoperability. ERCIM News 51 (2002)Google Scholar
  6. 6.
    Rector, A.L.: Clinical Terminology: Why is it so hard? Methods of Information in Medicine 6, 245–251 (1999)Google Scholar
  7. 7.
    Partridge, C.: The Role of Ontology in Semantic Integration (2002)Google Scholar
  8. 8.
    Paterson, G.I.: Semantic Interoperability for Decision Support Using Case Formalism and Controlled Vocabulary. In: Health 2004, Challenges for Today for Success Tomorrow (2004)Google Scholar
  9. 9.
    Semantic Interoperability Community of Practice: White Paper Series Module 1: Introducing Semantic Technologies and the Vision of the Semantic Web (2005)Google Scholar
  10. 10.
    Stuckenschmidt, H., Wache, H., Visser, U., Schuster, G.: Methodologies for Ontology-based Semantic Translation. In: ECIMF (2001)Google Scholar
  11. 11.
    Van Heijst, G., Schreiber, A.T., Wielinga, B.J.: Using explicit ontologies in KBS development. International Journal of Human-Computer Studies 45, 183–292 (1997)Google Scholar
  12. 12.
  13. 13.
  14. 14.
  15. 15.
  16. 16.
  17. 17.
  18. 18.
  19. 19.
  20. 20.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jesualdo Tomás Fernández-Breis
    • 1
  • Marcos Menárguez-Tortosa
    • 1
  • David Moner
    • 2
  • Rafael Valencia-García
    • 1
  • José Alberto Maldonado
    • 2
  • Pedro José Vivancos-Vicente
    • 1
  • Teddy Gonzalo Miranda-Mena
    • 3
  • Rodrigo Martínez-Béjar
    • 1
  1. 1.Departamento de Informática y Sistemas, Facultad de InformáticaUniversidad de MurciaMurciaSpain
  2. 2.Bioengineering, Electronics and Tele-Medicine GroupTechnical University of ValenciaValenciaSpain
  3. 3.Intelligent Methodologies (IMET)MurciaSpain

Personalised recommendations