Abstract
In the last years, with the progressive expansion of Healthcare Information Systems (HISs), the healthcare platforms for interoperability and monitoring systems have become increasingly more vital sources of clinical information. In this context, in Centro Hospitalar do Porto (CHP), the INTCare system was developed with the purpose to create new useful knowledge for decision support in real-time. It is an unquestionable potential area to develop effective systems for the prediction of clinical events, including Decision Support Systems (DSSs), for organ failure and death in Intensive Care. The INTCare uses multiple data sources that are collected at the bedside. However, this system fails on the recognition of the patient absence in bed. Thereby, this problem led to the development of the Patient Localization and Management System (PaLMS), i.e., a RFID localization and monitoring system. Thus, this paper describes the PaLMS Intelligent Multi-Agent System for the integration of PaLMS into the hospital platform for Interoperability, Diffusion and Archive – Agency for Integration, Diffusion and Archive of Medical Information (AIDA) platform. On the other hand, a failure prevention system that actuates in the PaLMS agents, improving their availability, is also presented and thoroughly discussed.
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References
Duarte, J., Salazar, M., Quintas, C., Santos, M., Neves, J., Abelha, A., Machado, J.: Data quality evaluation of electronic health records in the hospital admission process. In: 2010 IEEE/ACIS 9th International Conference on Computer and Information Science, pp. 201–206. IEEE (2010)
Miranda, M., Abelha, A., Santos, M., Machado, J., Neves, J.: A group decision support system for staging of cancer. In: Weerasinghe, D. (ed.) Electronic Healthcare, vol. 1, pp. 114–121. Springer, Heidelberg (2009)
Remagnino, P., Foresti, G.L.: Ambient intelligence: a new multidisciplinary paradigm. IEEE Trans. Syst. Man, Cybern. - Part A Syst. Humans. 35, 1–6 (2005)
Machado, J., Abelha, A., Neves, J., Santos, M.: Ambient intelligence in medicine. In: 2006 IEEE Biomedical Circuits and Systems Conference, pp. 94–97. IEEE (2006)
Portela, F., Santos, M.F., Machado, J., Abelha, A., Silva, Á.: Pervasive and intelligent decision support in critical health care using ensembles. In: Bursa, M., Khuri, S., Renda, M. Elena (eds.) ITBAM 2013. LNCS, vol. 8060, pp. 1–16. Springer, Heidelberg (2013). doi:10.1007/978-3-642-40093-3_1
Portela, F., Santos, M.F., Machado, J., Silva, Á., Rua, F., Abelha, A.: Intelligent data acquisition and scoring system for intensive medicine. In: Böhm, C., Khuri, S., Lhotská, L., Renda, M. Elena (eds.) ITBAM 2012. LNCS, vol. 7451, pp. 1–15. Springer, Heidelberg (2012). doi:10.1007/978-3-642-32395-9_1
Miranda, M., Machado, J., Abelha, A., Neves, J., Neves, J.: Evolutionary intelligence in agent modeling and interoperability. In: Novais, P., Preuveneers, D., Corchado, J.M. (eds.) Ambient Intelligence - Software and Applications, vol. 92, pp. 253–257. Springer, Heidelberg (2011)
Peixoto, H., Santos, M., Abelha, A., Machado, J.: Intelligence in interoperability with AIDA. In: Chen, L., Felfernig, A., Liu, J., Raś, Zbigniew W. (eds.) ISMIS 2012. LNCS (LNAI), vol. 7661, pp. 264–273. Springer, Heidelberg (2012). doi:10.1007/978-3-642-34624-8_31
Miranda, M., Machado, J., Abelha, A., Neves, J.: Healthcare interoperability through a JADE based multi-agent platform. In: Fortino, G., Badica, C., Malgeri, M., Unland, R. (eds.) Intelligent Distributed Computing VI, pp. 83–88. Springer, Heidelberg (2013)
Wicks, A.M., Visich, J.K., Li, S.: Radio frequency identification applications in hospital environments. Hosp. Top. 84, 3–9 (2006)
Fisher, J.A., Monahan, T.: Tracking the social dimensions of RFID systems in hospitals. Int. J. Med. Inform. 77, 176–183 (2008)
Chowdhury, B., Khosla, R.: RFID-based hospital real-time patient management system. In: 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), pp. 363–368. IEEE (2007)
Martínez Costa, C., Menárguez-Tortosa, M., Fernández-Breis, J.T.: Clinical data interoperability based on archetype transformation. J. Biomed. Inf. 44, 869–880 (2011)
Health Level Seven International: About HL7. http://www.hl7.org/about/index.cfm?ref=nav
Miranda, M., Pontes, G., Gonçalves, P., Peixoto, H., Santos, M., Abelha, A., Machado, J.: Modelling intelligent behaviours in multi-agent based HL7 Services. In: Lee, R. (ed.) Computer and Information Science 2010, vol. 317, pp. 95–106. Springer, Heidelberg (2010)
Palazzo, L., Rossi, M., Dragoni, A.F., Sernani, P.: A multi-agent architecture for health information systems. In: Advanced Methods and Technologies for Agent and Multi-Agent Systems (2013)
Isern, D., Sánchez, D., Moreno, A.: Agents applied in healthcare: a review. Int. J. Med. Inform. 79, 145–166 (2010)
Li, S., Kokar, M.M.: Agent communication language. In: Li, S., Kokar, M.M. (eds.) Flexible Adaptation in Cognitive Radios, pp. 37–44. Springer, New York (2013)
Andrade, F., Novais, P., Machado, J., Neves, J.: Contracting agents: legal personality and representation. Artif. Intell. Law 15, 357–373 (2007)
Machado, J., Alves, V., Abelha, A., Neves, J.: Ambient intelligence via multiagent systems in the medical arena. Int. J. Eng. Intell. Syst. Electr. Eng. Commun. 15, 151–157 (2007)
Dolin, R.H., Alschuler, L., Beebe, C., Biron, P.V., Boyer, S.L., Essin, D., Kimber, E., Lincoln, T., Mattison, J.E.: The HL7 clinical document architecture. J. Am. Med. Informatics Assoc. 8, 552–569 (2001)
Devaney, G., Lead, W.: Guideline for the Use of the Modified Early Warning Score (MEWS), London (2011)
Albino, A.P., Jacinto, V.: Implementação da Escala de Alerta Precoce EWS. Deteção do Doente Crítico), Portimão (2010)
Dimitropoulos, X., Hurley, P., Kind, A., Stoecklin, Marc Ph.: On the 95-percentile billing method. In: Moon, Sue B., Teixeira, R., Uhlig, S. (eds.) PAM 2009. LNCS, vol. 5448, pp. 207–216. Springer, Heidelberg (2009). doi:10.1007/978-3-642-00975-4_21
Acknowledgments
This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.
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Marins, F., Cardoso, L., Esteves, M., Machado, J., Abelha, A. (2017). An Agent-Based RFID Monitoring System for Healthcare. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-319-56541-5_42
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