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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
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.2006.01.003
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.2011.05.006
Fox, J., Beveridge, M., Glasspool, D.: Understanding intelligent agents: Analysis and synthesis. AI Communications 16, 139–152 (2003)
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.2010.01.003
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.2005.04.010
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)
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)
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
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)90034-9
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Pontes, G. et al. (2013). Modeling Intelligent Agents to Integrate a Patient Monitoring System. In: Pérez, J., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent Systems and Computing, vol 221. Springer, Cham. https://doi.org/10.1007/978-3-319-00563-8_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-00563-8_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00562-1
Online ISBN: 978-3-319-00563-8
eBook Packages: EngineeringEngineering (R0)