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Semantic Interoperability Between Clinical Research and Healthcare: The PONTE Approach

  • Anastasios Tagaris
  • Efthymios Chondrogiannis
  • Vassiliki Andronikou
  • George Tsatsaronis
  • Konstantinos Mourtzoukos
  • Joseph Roumier
  • Nikolaos Matskanis
  • Michael Schroeder
  • Philippe Massonet
  • Dimitrios Koutsouris
  • Theodora Varvarigou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7540)

Abstract

The adoption of ICT technologies in healthcare for recording patients’ health events and progression in Electronic Health Records (EHRs) and Clinical Information Systems (CLIS) has led to a rapidly increasing volume of data which is, in general, distributed in autonomous heterogeneous databases. The secondary use of such data (commonly anonymised for privacy reasons) for purposes other than healthcare (such as patient selection for clinical trials) comprises an emerging trend. However, this trend encapsulates a great challenge; semantic interlinking of two different, yet highly related, domains (in terms of semantics) i.e., clinical research and healthcare. This paper aims at presenting an analysis of the heterogeneity issues met in this effort and describing the semantically-enabled multi-step process followed within the PONTE project for achieving the interlinking of these two domains for the provision of the size of the eligible patients for participation in a trial at the cooperating sites.

Keywords

Semantic interoperability Electronic health records Ontology mapping 

Notes

Acknowledgements

This work is being supported by the PONTE project and has been partially funded by the European Commission’s IST activity of the 7th Framework Programme under contract number 247945. This paper expresses the opinions of the authors and not necessarily those of the European Commission. The European Commission is not liable for any use that may be made of the information contained in this paper.

References

  1. 1.
    Kraljevic, S., Stambrook, P.J., Pavelic, K.: Accelerating drug discovery. EMBO Rep. 5, 837–842 (2004). doi: 10.1038/sj.embor.7400236 CrossRefGoogle Scholar
  2. 2.
    Van den Haak, M.A., Sculthorpe, P.D., McAuslane, J.: New Active Substance Activities: Submission, Authorisation and Marketing 2001. CMR International, Epsom (2002)Google Scholar
  3. 3.
    Di Masi, J., Hansen, R., Grabowski, H.: The price of innovation: new estimates of drug development costs. J. Health Econ. 22, 151–185 (2003)CrossRefGoogle Scholar
  4. 4.
    Harper, M.: The Truly Staggering Cost of Inventing New Drugs (2012). http://www.forbes.com/sites/matthewherper/2012/02/10/the-truly-staggering-cost-of-inventing-new-drugs/
  5. 5.
    Sheth, A.: Changing focus on interoperability in information systems: from system, syntax, structure to semantic. In: Goodchild, M.F., Egenhofer, M.J., Fegeas, R., Kotman, C.A. (eds.) Interoperating Geographic Information Systems, pp. 5–29. Kluwer Academic Publishers, Norwell (1999)CrossRefGoogle Scholar
  6. 6.
    Ghawi., R.: Ontology-based Cooperation of Information Systems, 15 March 2010Google Scholar
  7. 7.
    Sheth, A.P.: Changing Focus on Interoperability in Information Systems:From System, Syntax, Structure to Semantics. In: Goodchild, M., Egenhofer, M., Fegeas, R., Kottman, C. (eds.) Interoperating Geographic Information Systems, vol. 495, pp. 5–29. Kluwer Academic Publishers, Dordrecht (1999)CrossRefGoogle Scholar
  8. 8.
    International Classification of Diseases (ICD). http://www.who.int/classifications/icd/en/
  9. 9.
    Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT). http://www.ihtsdo.org/snomed-ct/
  10. 10.
  11. 11.
    Klein, M.: Combining and relating ontologies: an analysis of problems and solutions. In: A. Gomez-Perz, M. Gruninger, H. Stuckenschmidt, and M. Uschold. (eds.) Workshop on Ontologies and Information Sharing, IJCAI 2001, Seattle, USA, pp. 309–327 (2001)Google Scholar
  12. 12.
  13. 13.
    Bizer, C., Cyganiak, R.: D2R server – publishing relational databases on the semantic web. In: Poster at the 5th International Semantic Web Conference (ISWC 2006) (2006). http://richard.cyganiak.de/2008/papers/d2r-server-iswc2006.pdf
  14. 14.
    Bizer, C., Seaborne, A.: D2RQ - treating non-RDF databases as virtual RDF graphs. In: ISWC 2004 (2004). http://www4.wiwiss.fu-berlin.de/bizer/pub/bizer-d2rq-iswc2004.pdf
  15. 15.
    Scharffe, F., Bruijn, J.A.: Language to specify mappings between ontologies. In: Proceedings of the 1st International Conference on Signal-Image Technology and Internet-Based Systems (SITIS 2005), Yandoué, Cameroon. Dicolor Press, November 2005Google Scholar
  16. 16.
    Expressive and Declarative Ontology Alignment Language (EDOAL), available at:http://alignapi.gforge.inria.fr/edoal.html

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Anastasios Tagaris
    • 1
  • Efthymios Chondrogiannis
    • 1
  • Vassiliki Andronikou
    • 1
  • George Tsatsaronis
    • 2
  • Konstantinos Mourtzoukos
    • 1
  • Joseph Roumier
    • 3
  • Nikolaos Matskanis
    • 3
  • Michael Schroeder
    • 2
  • Philippe Massonet
    • 3
  • Dimitrios Koutsouris
    • 1
  • Theodora Varvarigou
    • 1
  1. 1.National Technical University of AthensAthensGreece
  2. 2.Biotechnology Center (BIOTEC)Technische Universität Dresden (TUD)DresdenGermany
  3. 3.Centre d’ Excellence en Technologies de l’ Information et de la Communication (CETIC)ChareroiBelgium

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