Intelligent systems for monitoring and preventing in healthcare information systems
Main Author: | |
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Publication Date: | 2014 |
Other Authors: | , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/1822/31205 |
Summary: | Nowadays the interoperability in Healthcare Information Systems (HIS) is a fundamental requirement. The Agency for Integration, Diffusion and Archive of Medical Information (AIDA) is an interoperability healthcare platform that ensures these demands and it is implemented in Centro Hospitalar do Porto (CHP), a major healthcare unit in Portugal. Therefore, the overall performance of CHP HIS depends on the success of AIDA functioning. This paper presents monitoring and prevention systems implemented in the CHP, which aim to improve the system integrity and high availability. These systems allow the monitoring and the detection of situations conducive to failure in the AIDA main components: database, machines and intelligent agents. Through the monitoring systems, it was found that the database most critical period is between 11:00 and 12:00 and the resources are well balanced. The prevention systems detected abnormal situations that were reported to the administrators that took preventive actions, avoiding damage to AIDA workflow. |
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Intelligent systems for monitoring and preventing in healthcare information systemsAIDAInteroperabilityIntelligent systemsMonitoringNowadays the interoperability in Healthcare Information Systems (HIS) is a fundamental requirement. The Agency for Integration, Diffusion and Archive of Medical Information (AIDA) is an interoperability healthcare platform that ensures these demands and it is implemented in Centro Hospitalar do Porto (CHP), a major healthcare unit in Portugal. Therefore, the overall performance of CHP HIS depends on the success of AIDA functioning. This paper presents monitoring and prevention systems implemented in the CHP, which aim to improve the system integrity and high availability. These systems allow the monitoring and the detection of situations conducive to failure in the AIDA main components: database, machines and intelligent agents. Through the monitoring systems, it was found that the database most critical period is between 11:00 and 12:00 and the resources are well balanced. The prevention systems detected abnormal situations that were reported to the administrators that took preventive actions, avoiding damage to AIDA workflow.Springer, ChamUniversidade do MinhoMarins, Fernando Augusto SilvaCardoso, LucianaPortela, FilipeAbelha, AntónioMachado, José Manuel2014-092014-09-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/31205engMarins, F., Cardoso, L., Portela, F., Abelha, A., Machado, J. (2014). Intelligent Systems for Monitoring and Prevention in Healthcare Information Systems. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8584. Springer, Cham. https://doi.org/10.1007/978-3-319-09153-2_15978-3-319-09152-510.1007%2F978-3-319-09153-2_15978-3-319-09153-2https://link.springer.com/chapter/10.1007/978-3-319-09153-2_15info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-19T01:17:23Zoai:repositorium.sdum.uminho.pt:1822/31205Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:41:16.058103Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Intelligent systems for monitoring and preventing in healthcare information systems |
title |
Intelligent systems for monitoring and preventing in healthcare information systems |
spellingShingle |
Intelligent systems for monitoring and preventing in healthcare information systems Marins, Fernando Augusto Silva AIDA Interoperability Intelligent systems Monitoring |
title_short |
Intelligent systems for monitoring and preventing in healthcare information systems |
title_full |
Intelligent systems for monitoring and preventing in healthcare information systems |
title_fullStr |
Intelligent systems for monitoring and preventing in healthcare information systems |
title_full_unstemmed |
Intelligent systems for monitoring and preventing in healthcare information systems |
title_sort |
Intelligent systems for monitoring and preventing in healthcare information systems |
author |
Marins, Fernando Augusto Silva |
author_facet |
Marins, Fernando Augusto Silva Cardoso, Luciana Portela, Filipe Abelha, António Machado, José Manuel |
author_role |
author |
author2 |
Cardoso, Luciana Portela, Filipe Abelha, António Machado, José Manuel |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Marins, Fernando Augusto Silva Cardoso, Luciana Portela, Filipe Abelha, António Machado, José Manuel |
dc.subject.por.fl_str_mv |
AIDA Interoperability Intelligent systems Monitoring |
topic |
AIDA Interoperability Intelligent systems Monitoring |
description |
Nowadays the interoperability in Healthcare Information Systems (HIS) is a fundamental requirement. The Agency for Integration, Diffusion and Archive of Medical Information (AIDA) is an interoperability healthcare platform that ensures these demands and it is implemented in Centro Hospitalar do Porto (CHP), a major healthcare unit in Portugal. Therefore, the overall performance of CHP HIS depends on the success of AIDA functioning. This paper presents monitoring and prevention systems implemented in the CHP, which aim to improve the system integrity and high availability. These systems allow the monitoring and the detection of situations conducive to failure in the AIDA main components: database, machines and intelligent agents. Through the monitoring systems, it was found that the database most critical period is between 11:00 and 12:00 and the resources are well balanced. The prevention systems detected abnormal situations that were reported to the administrators that took preventive actions, avoiding damage to AIDA workflow. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-09 2014-09-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/31205 |
url |
https://hdl.handle.net/1822/31205 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Marins, F., Cardoso, L., Portela, F., Abelha, A., Machado, J. (2014). Intelligent Systems for Monitoring and Prevention in Healthcare Information Systems. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8584. Springer, Cham. https://doi.org/10.1007/978-3-319-09153-2_15 978-3-319-09152-5 10.1007%2F978-3-319-09153-2_15 978-3-319-09153-2 https://link.springer.com/chapter/10.1007/978-3-319-09153-2_15 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer, Cham |
publisher.none.fl_str_mv |
Springer, Cham |
dc.source.none.fl_str_mv |
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