Advertisement

Modeling Intelligent Agents to Integrate a Patient Monitoring System

  • Gabriel Pontes
  • Carlos Filipe Portela
  • Rui Rodrigues
  • Manuel Filipe Santos
  • José Neves
  • António Abelha
  • José Machado
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 221)

Abstract

ICU units are a good environment for the application of intelligent systems in the healthcare arena, due to its critical environment that require diagnose, monitor and treatment of patients with serious illnesses. An intelligent decision support system - INTCare, was developed and tested in CHP, a hospital in Oporto, Portugal. The need to detect the presence or absence of the patient in bed, in order to stop the collection of redundant data concerning about the patient vital status led to the development of an RFID locating and monitoring system - PaLMS, able to uniquely and unambiguously identify a patient and perceive its presence in bed in an ubiquitous manner, making the process of data collection and alert event more accurate. An intelligent multi-agent system for integration of PaLMS in the hospital’s platform for interoperability (AIDA) was also developed, using the characteristics of intelligent agents for the communication process between the RFID equipment, the INTCare module and the Patient Management System, using the HL7 standard embedded in agent behaviours.

Keywords

Ambient Intelligence Intelligent Agents Multi-Agent Systems RFID Patient Monitoring Intensive Care Units Medical Informatics 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Abelha, A., Analide, C., Machado, J., Neves, J., Santos, M., Novais, P.: Ambient intelligence and simulation in health care virtual scenarios. In: Camarinha-Matos, L., Afsarmanesh, H., Novais, P., Analide, C. (eds.) Establishing The Foundation of Collaborative Networks. IFIP AICT, vol. 243, pp. 461–468. Springer, Boston (2007)CrossRefGoogle Scholar
  2. 2.
    Bricon-Souf, N., Newman, C.R.: Context awareness in health care: A review. International Journal of Medical Informatics 76(1), 2–12 (2007), http://www.sciencedirect.com/science/article/pii/S1386505606000098, doi:10.1016/j.ijmedinf.2006.01.003CrossRefGoogle Scholar
  3. 3.
    Costa, C.M., Menárguez-Tortosa, M., Fernández-Breis, J.T.: Clinical data interoperability based on archetype transformation. Journal of Biomedical Informatics 44(5), 869–880 (2011), http://www.sciencedirect.com/science/article/pii/S1532046411000979, doi:10.1016/j.jbi.2011.05.006CrossRefGoogle Scholar
  4. 4.
    Fox, J., Beveridge, M., Glasspool, D.: Understanding intelligent agents: Analysis and synthesis. AI Communications 16, 139–152 (2003)MathSciNetzbMATHGoogle Scholar
  5. 5.
    Isern, D., Sánchez, D., Moreno, A.: Agents applied in health care: A review. International Journal of Medical Informatics 79(3), 145–166 (2010), doi:10.1016/j.ijmedinf.2010.01.003CrossRefGoogle Scholar
  6. 6.
    Orgun, B., Vu, J.: Hl7 ontology and mobile agents for interoperability in heterogeneous medical information systems. Computers in Biology and Medicine 36(7-8), 817–836 (2006) Special Issue on Medical Ontologies, http://www.sciencedirect.com/science/article/pii/S0010482505000806, doi:10.1016/j.compbiomed.2005.04.010CrossRefGoogle Scholar
  7. 7.
    Portela, F., Gago, P., Santos, M.F., Silva, Á.M., Rua, F., Machado, J., Abelha, A., Neves, J.: Knowledge discovery for pervasive and real-time intelligent decision support in intensive care medicine. In: Filipe, J., Liu, K. (eds.) KMIS, pp. 241–249. SciTePress (2011)Google Scholar
  8. 8.
    Ribeiro, J.V., Geirinhas, P.M.: Icnp in sonho. In: Mortensen, R.A. (ed.) ICNP in Europe: Telenurse, Technology and Informatics, pp. 131–136. IOS Press (1997)Google Scholar
  9. 9.
    Santos, M.F., Portela, F., Vilas-Boas, M., Machado, J., Abelha, A., Neves, J., Silva, A., Rua, F.: Information architecture for intelligent decision support in intensive medicine. W. Trans. on Comp. 8(5), 810–819 (2009), http://dl.acm.org/citation.cfm?id=1558772.1558779 Google Scholar
  10. 10.
    Shoham, Y.: Agent-oriented programming. Artificial Intelligence 60(1), 51–92 (1993), http://www.sciencedirect.com/science/article/pii/0004370293900349, doi:10.1016/0004-3702(93)90034-9MathSciNetCrossRefGoogle Scholar
  11. 11.
    Vilas-Boas, M., Gago, P., Portela, F., Rua, F., Silva, Á., Santos, M.F.: Distributed and real time data mining in the intensive care unit. In: 19th European Conference on Artificial Intelligence - ECAI Lisbon, pp. 51–55 (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Gabriel Pontes
    • 1
  • Carlos Filipe Portela
    • 2
  • Rui Rodrigues
    • 1
  • Manuel Filipe Santos
    • 2
  • José Neves
    • 1
  • António Abelha
    • 1
  • José Machado
    • 1
  1. 1.Computer Science and Technology Centre (CCTC)University of MinhoBragaPortugal
  2. 2.ALGORITMI CenterUniversity of MinhoGuimarãesPortugal

Personalised recommendations