2014
Marins, F.; Cardoso, L.; Portela, F.; Abelha, A.; Machado, J.
Intelligent systems for monitoring and prevention in healthcare information systems Proceedings Article
Em: pp. 197-211, Springer Verlag, Guimaraes, 2014, ISSN: 03029743, (cited By 1; Conference of 14th International Conference on Computational Science and Its Applications, ICCSA 2014 ; Conference Date: 30 June 2014 Through 3 July 2014; Conference Code:106576).
Resumo | Links | BibTeX | Etiquetas: Availability; Damage detection; Health care; Information systems; Intelligent agents; Intelligent systems; Monitoring, Health care information system; Healthcare information systems (HIS); High availability; Medical information; Monitoring system; Prevention systems; Preventive action; System integrity, Interoperability
@inproceedings{Marins2014197,
title = {Intelligent systems for monitoring and prevention in healthcare information systems},
author = {F. Marins and L. Cardoso and F. Portela and A. Abelha and J. Machado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904873936&doi=10.1007%2f978-3-319-09153-2_15&partnerID=40&md5=47cf42741b7034a2c531829c2f99a74c},
doi = {10.1007/978-3-319-09153-2_15},
issn = {03029743},
year = {2014},
date = {2014-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {8584 LNCS},
number = {PART 6},
pages = {197-211},
publisher = {Springer Verlag},
address = {Guimaraes},
abstract = {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. © 2014 Springer International Publishing.},
note = {cited By 1; Conference of 14th International Conference on Computational Science and Its Applications, ICCSA 2014 ; Conference Date: 30 June 2014 Through 3 July 2014; Conference Code:106576},
keywords = {Availability; Damage detection; Health care; Information systems; Intelligent agents; Intelligent systems; Monitoring, Health care information system; Healthcare information systems (HIS); High availability; Medical information; Monitoring system; Prevention systems; Preventive action; System integrity, Interoperability},
pubstate = {published},
tppubtype = {inproceedings}
}
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. © 2014 Springer International Publishing.