Medical equipment classification: method and decision-making support based on paraconsistent annotated logic
| Autor: | Rosana A. Bassani, Itala M. Loffredo D'Ottaviano, José Wilson Magalhães Bassani, Natália F. Oshiyama |
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| Rok vydání: | 2011 |
| Předmět: |
medicine.medical_specialty
Downtime Technology Assessment Biomedical Corrective maintenance Databases Factual Computer science Logic Maintenance Biomedical Engineering Paraconsistent logic Medical equipment computer.software_genre Computer Science Applications Technology management Decision Support Techniques Management information systems Identification (information) Risk analysis (engineering) medicine Humans Equipment Failure Data mining computer Clinical engineering |
| Zdroj: | Medicalbiological engineeringcomputing. 50(4) |
| ISSN: | 1741-0444 |
| Popis: | As technology evolves, the role of medical equipment in the healthcare system, as well as technology management, becomes more important. Although the existence of large databases containing management information is currently common, extracting useful information from them is still difficult. A useful tool for identification of frequently failing equipment, which increases maintenance cost and downtime, would be the classification according to the corrective maintenance data. Nevertheless, establishment of classes may create inconsistencies, since an item may be close to two classes by the same extent. Paraconsistent logic might help solve this problem, as it allows the existence of inconsistent (contradictory) information without trivialization. In this paper, a methodology for medical equipment classification based on the ABC analysis of corrective maintenance data is presented, and complemented with a paraconsistent annotated logic analysis, which may enable the decision maker to take into consideration alerts created by the identification of inconsistencies and indeterminacies in the classification. |
| Databáze: | OpenAIRE |
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