An Ontology-Driven Approach for the Management of Home Healthcare Process

  • Elyes Lamine
  • Abdel Rahman H. Tawil
  • Rémi Bastide
  • Hervé Pingaud
Conference paper
Part of the Proceedings of the I-ESA Conferences book series (IESACONF, volume 7)


In the homecare domain, workflows are in the mainstream for supporting the coordination and monitoring of care processes which involve managing a sequence of care workflow (careflow) activities, transmitting the information required for providing care and supporting the invocation of appropriate human and/or IT resources. However, the design of these careflows for later enactment by a Workflow Management System remains a complex task, heavily dependent on patients’ profiles and accordingly requiring to be distinctly personalised. This paper proposes an ontology-driven design approach for careflows, to facilitate the construction of personalized careflows. Following an approach grounded in Model-Driven Engineering (MDE), our methodology is based on the matching of ontologies between conceptual models of homecare and a semantic representation of Business Process Modeling Notation (BPMN) which is associated with both Actor and Case Profile ontological models.


Collaborative process management Personalised processes Model driven engineering Home care ontology Patient profile BPMN ontology 


  1. 1.
    FNEHAD. (2009). Fédération nationale des établissements d’hospitalisation à domicile “Livre blan des systèmes d’information en hospitalisation à domicile” 1 édition—Juin (2009).Google Scholar
  2. 2.
    Kun, L. G. (2001) Telehealth and the global health network in the 21(st) century. From homecare to public health informatics. Computer Methods and Programs in Biomedicine, 64, 155–167. Google Scholar
  3. 3.
    Woodward, C., Abelson, J., & Hutchison, B. (2001). My home is not my home anymore: Improving continuity of care in homecare. In The Canadian Health Services Research Foundation.
  4. 4.
    Helleso, R., Sorensen, L., & Lorensena, M. (2005). Nurses’ information management across complex health care organizations. International Journal of Medical Informatics,76, 960–972.Google Scholar
  5. 5.
    Bastide, R., Zefouni, S., & Lamine, E. (2010). The homecare digital ecosystem: An information system support architecture. In IFIP Conference on Personal Wireless Communications, Knowledge Village, Dubai, UAE, April 12–15, 2010. IEEE Computer Society.Google Scholar
  6. 6.
    Lamine, E., Zefouni, S., & Bastide R. (2010). A system architecture supporting the agile coordination of homecare services. In IFIP Working Conference on Virtual Enterprises (PRO-VE 2010), Saint-Etienne, France, October 11–13, 2010 (Vol. 336). Springer.Google Scholar
  7. 7.
    Shortell, S. (1976). Continuity of medical care: Conceptionalization and measurement. Medical Care, 14(5), 377–391.CrossRefGoogle Scholar
  8. 8.
    Hollingsworth, D. (1995). The workflow reference model, Technical Report wfmctc-1003. Workflow Management Coalition.Google Scholar
  9. 9.
    Lunn, K., Sixsmith, A., Lindsay, A., & Vaarama M. (2003). Traceability in requirements through process modelling, applied to social care applications. Information and Software Technology, 45, 1045–1052.Google Scholar
  10. 10.
    Dadam, P., Reichert, M., & Kuhn, K. (2000). Clinical workflows—the killer application for process-oriented information systems? In Proceedings of International Conference on Business Information Systems (pp. 36–59). Pozan, Poland: Springer.Google Scholar
  11. 11.
    Dazzil, L., Fassino, C., Saracco, R., Quaglini, S., & Stefanelli, M. A. (1997). Patient workflow management system built on guidelines. In Proceedings of AMIA 97 (pp. 146–150). Nashville, TN.Google Scholar
  12. 12.
    Quaglinia, S., Stefanellia, M., Lanzolaa, G., Caporussob, V., & Panzarasab, S. (2001). Flexible guideline-based patient careflow systems. Artificial Intelligence in Medicine, 22, 65–80.CrossRefGoogle Scholar
  13. 13.
    Song, X., Hwong, B., Matos, G., Rudorfer, A., Nelson, C., Han, M., et al. (2006). Understanding requirements for computer-aided healthcare workflows: Experiences and challenges. In ICSE’06, May 20–28, 2006, Shanghai, China. ACM 1-59593-085-X/06/0005.Google Scholar
  14. 14.
    Dwivedi, A. N., Bali, R. K., Wickramasinghe, N., & Gorgui-Naguib, R. N. (2007). How workflow management systems enable the achievement of value driven healthcare delivery. IJEH, 3(3), 382–393.CrossRefGoogle Scholar
  15. 15.
    Liu, C., Li, Q., & Zhao, X. (2008). Challenges and opportunities in collaborative business process management: Overview of recent advances and introduction to the special issue. New York: Springer Science and Business Media, LLC.Google Scholar
  16. 16.
    Valls, A., Gibert, K., Sánchez, D., & Batet, M. (2010). Using ontologies for structuring organizational knowledge in home care assistance. In International Journal of Medical Informatics, 79, 370.Google Scholar
  17. 17.
    Ghidini, C., Francescomarino, D., Rospocher, M., Tonella, P., & Serafini, L. (2011). Semantics based aspect oriented management of exceptional flows in business processes. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews.Google Scholar
  18. 18.
    Gruber, T. R. (1993). Towards principles for the design of ontologies used for knowledge sharing. In N. Guarino & R. Poli (Eds.), Formal Ontology in Conceptual Analysis and Knowledge Representation. Deventer, The Netherlands: Kluwer Academic Publishers.Google Scholar
  19. 19.
    Uschold, M., & King, M. (1995). Towards a methodology for building ontologies. In D. Skuce (Ed.), IJCAI’95 Workshop on Basic Ontological Issues in Knowledge Sharing (pp. 6.1–6.10). Montreal, Canada.Google Scholar
  20. 20.
    Staab, S., Schnurr, H. P., Studer, R., & Sure, Y. (2001). Knowledge processes and ontologies. IEEE Intelligent Systems, 16(1), 26–34.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Elyes Lamine
    • 1
  • Abdel Rahman H. Tawil
    • 2
  • Rémi Bastide
    • 3
  • Hervé Pingaud
    • 1
  1. 1.Mines-Albi, CGIUniversité de ToulouseAlbi Cedex 09France
  2. 2.School of Architecture Computing and Engineering, Docklands CampusUniversity of East LondonLondonUK
  3. 3.IRIT, CUFR J.F. Champollion, ISISUniversité de ToulouseCastresFrance

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