Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/21231
Título: | Intelligent systems based in hospital database malfunction scenarios |
Autor(es): | Silva, Paulo Quintas, César Gonçalves, Pedro Pontes, Gabriel Santos, Manuel Abelha, António Machado, José Manuel |
Data: | 2012 |
Editora: | IEEE |
Revista: | IEEE International Conference on Industrial Engineering and Engineering Management |
Resumo(s): | Databases are indispensable for everyday tasks in many organizations, particularly in healthcare units. Databases, allows to archive, among other relevant operations, important, private and confidential information about patients clinical status. Therefore, they must be available, reliable and at high perfor- mance level twenty-four hours a day, seven days per week. In many healthcare units, fault tolerant systems are online and ensure the availability, reliability and disaster recovery of data. However, these mechanisms do not allow to take preventive actions in order to avoid fault occurrence. In this context, it is of utmost importance the necessity of developing a fault prevention system. This system can predict database malfunction in advance and provides early decision taken to solve problems. With this paper we inted to monitor the database performance and adapt a forecasting model used in medicine (MEWS) to the database context. Based on mathematical tools it was created a scale that assesses the severity of abnormal situations. In this way, it is possible to define the scenarios where database symptoms must trigger alerts and assistance request. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/21231 |
ISBN: | 9781467329453 |
DOI: | 10.1109/IEEM.2012.6837859 |
ISSN: | 2157-3611 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | DI/CCTC - Artigos (papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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11-IEEM-Paulo.pdf Acesso restrito! | 364,42 kB | Adobe PDF | Ver/Abrir |