Adaptation of an Evaluation System for e-Health Environments

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6279)


The increase in ageing of European population implies a high cost in economy and society in any European country and it can be reduced if we pay attention and develop home care systems. Evaluation of these systems is a critical and challenging issue but seldom tackled. It is important before evaluating a system to figure out what is the evaluation goal. In our case, such a goal is to evaluate enhanced user experience and beyond the evaluation goal it is also a central concern about what to evaluate. In this paper we propose a multi-agent home care system where we describe how agents coordinate their decisions to provide e-services to patients when at home after hospitalization. Finally we center our proposal on the adaptation of an evaluation system, previously developed, to support the challenges of an e-Health environment and also the multi-user evaluation. These evaluation methods (online/offline) will provide user’s (patients, patient’s relatives and healthcare professionals) feedback into the system.


Universal Mobile Telecommunication System Universal Mobile Telecommunication System Evaluation Goal Mobile Healthcare Home Care System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Wyatt, J., Sullivan, F.: Ehealth and the future: promise or peril? British Medical Journal 331, 1391 (2005)CrossRefGoogle Scholar
  2. 2.
    Van Halteren, A., Bults, R., Wac, K., Konstantas, D., Widya, I., Dokovsky, N., Koprinkov, G., Jones, V., Herzog, R.: Mobile patient monitoring: The mobihealth system. The Journal on Information Technology in Healthcare 2(5), 365–373 (2004)Google Scholar
  3. 3.
    X-motion project webpage (2004)Google Scholar
  4. 4.
    Myheart project webpageGoogle Scholar
  5. 5.
    Helal, S., Mann, W., El-Zabadani, H., King, J., Kaddoura, Y., Jansen, E.: The gator tech smart house: A programmable pervasive space. Computer, 50–60 (2005)Google Scholar
  6. 6.
    Floeck, M., Litz, L.: Integration of home automation technology into an assisted living concept. In: Assisted Living Systems-Models, Architectures and Engineering Approaches (2007)Google Scholar
  7. 7.
    Fraile, J., Bajo, J., Corchado, J.: Am ade: Developing a multi-agent architecture for home care environments (2008)Google Scholar
  8. 8.
    Sánchez-Pi, N., Carbó, J., Molina, J.: Jade/leap agents in an aml domain. In: Corchado, E., Abraham, A., Pedrycz, W. (eds.) HAIS 2008. LNCS (LNAI), vol. 5271, pp. 62–69. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  9. 9.
    Sánchez-Pi, N., Molina, J.: A multi-agent platform for the provisioning of u-commerce services. In: 28th North American Fuzzy Information Processing Society Annual Conference (2009)Google Scholar
  10. 10.
    Sánchez-Pi, N., Molina, J.: A multi-agent approach for the provisioning of e-services in u-commerce environment. Internet Research 20 (2010), ISSN: 1066-2243Google Scholar
  11. 11.
    Schmidt, A.: Ubiquitous Computing- Computing in Context. PhD thesis (November 2002)Google Scholar
  12. 12.
    Dahlback, N., Jonsson, A., Ahrenberg, L.: Wizard of oz studies-why and how. Knowledge-Based Systems 6(4), 258–266 (1993)CrossRefGoogle Scholar
  13. 13.
    Haux, R.: Health information systems-past, present, future. International Journal of Medical Informatics 75(3-4), 268–281 (2006)CrossRefGoogle Scholar
  14. 14.
    Johnson, C., Turley, J.: The significance of cognitive modeling in building healthcare interfaces. International Journal of Medical Informatics 75(2), 163–172 (2006)CrossRefGoogle Scholar
  15. 15.
    Reuss, E., Menozzi, M., Buchi, M., Koller, J., Krueger, H.: Information access at the point of care: what can we learn for designing a mobile cpr system? International Journal of Medical Informatics 73(4), 363–369 (2004)Google Scholar
  16. 16.
    Bopp, K.: How patients evaluate the quality of ambulatory medical encounters: a marketing perspective. Journal of Health Care Marketing 10(1), 6–15 (1990)Google Scholar
  17. 17.
    Parasuraman, A., Zeithaml, V., Berry, L.: Servqual: a multiple-item scale for measuring consumer perceptions of service quality. Retailing: Critical Concepts 64(1), 140 (2002)Google Scholar
  18. 18.
    Gronroos, C.: Service management and marketing: managing the moments of truth in service competition. Jossey-Bass, San Francisco (1990)Google Scholar
  19. 19.
    Cronin Jr., J., Taylor, S.: Measuring service quality: a reexamination and extension. The Journal of Marketing 56(3), 55–68 (1992)CrossRefGoogle Scholar
  20. 20.
    Yoo, B., Donthu, N.: Developing a scale to measure the perceived quality of an internet shopping site (sitequal). Quarterly Journal of Electronic Commerce 2, 31–46 (2001)Google Scholar
  21. 21.
    Zhang, X., Prybutok, V.: A consumer perspective of e-service quality. IEEE Transactions on Engineering Management 52(4), 461–477 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Carlos III University of MadridMadridSpain

Personalised recommendations