Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/53546
Type: Artigo de periódico
Title: Medical equipment classification: method and decision-making support based on paraconsistent annotated logic
Author: Oshiyama, NF
Bassani, RA
D'Ottaviano, IML
Bassani, JWM
Abstract: 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.
Subject: Clinical engineering
Medical technology-classification
Database
Decision making
Country: Alemanha
Editor: Springer Heidelberg
Rights: fechado
Identifier DOI: 10.1007/s11517-012-0888-6
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

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