2012
Rodrigues, R.; Gonçalves, P.; Miranda, M.; Portela, C.; Santos, M.; Neves, J.; Abelha, A.; MacHado, J.
An intelligent patient monitoring system Proceedings Article
Em: pp. 274-283, Macau, 2012, ISSN: 03029743, (cited By 4; Conference of 20th International Symposium on Methodologies for Intelligent Systems, ISMIS 2012 ; Conference Date: 4 December 2012 Through 7 December 2012; Conference Code:94398).
Resumo | Links | BibTeX | Etiquetas: Ambient intelligence; HL7; Medical informatics; Multi agent system (MAS); Patient monitoring systems, Communication; Decision support systems; Health care; Intelligent agents; Intelligent systems; Intensive care units; Multi agent systems; Patient monitoring; Radio frequency identification (RFID), Interoperability
@inproceedings{Rodrigues2012274,
title = {An intelligent patient monitoring system},
author = {R. Rodrigues and P. Gonçalves and M. Miranda and C. Portela and M. Santos and J. Neves and A. Abelha and J. MacHado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870862056&doi=10.1007%2f978-3-642-34624-8_32&partnerID=40&md5=3fd87effe75c4e219efb7b9b0b27e202},
doi = {10.1007/978-3-642-34624-8_32},
issn = {03029743},
year = {2012},
date = {2012-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {7661 LNAI},
pages = {274-283},
address = {Macau},
abstract = {Intensive Care Units (ICUs) are a good environment for the application of intelligent systems in the healthcare arena, due to its critical environment that requires diagnose, monitoring and treatment of patients with serious illnesses. An intelligent decision support system - INTCare, was developed and tested in CHP (Centro Hospitalar do Porto), 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 localisation 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 (PMS), using the HL7 standard embedded in agent behaviours. © 2012 Springer-Verlag.},
note = {cited By 4; Conference of 20th International Symposium on Methodologies for Intelligent Systems, ISMIS 2012 ; Conference Date: 4 December 2012 Through 7 December 2012; Conference Code:94398},
keywords = {Ambient intelligence; HL7; Medical informatics; Multi agent system (MAS); Patient monitoring systems, Communication; Decision support systems; Health care; Intelligent agents; Intelligent systems; Intensive care units; Multi agent systems; Patient monitoring; Radio frequency identification (RFID), Interoperability},
pubstate = {published},
tppubtype = {inproceedings}
}
Intensive Care Units (ICUs) are a good environment for the application of intelligent systems in the healthcare arena, due to its critical environment that requires diagnose, monitoring and treatment of patients with serious illnesses. An intelligent decision support system - INTCare, was developed and tested in CHP (Centro Hospitalar do Porto), 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 localisation 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 (PMS), using the HL7 standard embedded in agent behaviours. © 2012 Springer-Verlag.