Um modelo de priorização de manutenção de equipamentos médico-hospitalares

Detalhes bibliográficos
Ano de defesa: 2023
Autor(a) principal: Gadelha, Rafael Moraes
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal da Paraíba
Brasil
Engenharia de Produção
Programa de Pós-Graduação em Engenharia de Produção e Sistema
UFPB
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://repositorio.ufpb.br/jspui/handle/123456789/30521
Resumo: Different non-manufacturing sectors have invested in structured procedures to improve mainte-nance management. In healthcare facilities, this improvement in maintenance management is additionally motivated by considerations of life risk to the patients, an element that increases the complexity of maintenance and encourages the adoption of prioritization models. Bearing this in mind, this research aimed to develop a model for prioritizing the maintenance of medical devices that would be adequate to the complexity of institutions in the hospital sector. To this end, a literature survey on the prioritization of maintenance of medical devices was first carried out to identify criteria and evaluation tools used and propose a model based on best practices. The proposed model initially uses the qualitative focus group methodology to select and classify the most appropriate prioritization criteria for the studied organization in order of importance. Furthermore, considering the established requirements, the model proposes applying the PRO-METHEE-ROC method to establish the maintenance priority order within a group of devices. In order to test its applicability, the model was parameterized for a large hospital chain and applied to devices belonging to the surgical center and the sterilized materials center of a unit. The results were considered adequate given the clinical engineering experiences and compared to the existing maintenance schedule. They also indicated that the hospital unit could improve prioritizing scheduled maintenance, specifically regarding understanding the importance of sterilization equipment to the detriment of monitoring equipment, for example. In addition, a sensitivity analysis was performed for changes in criteria weights, and a statistical correlation test was performed to observe the accuracy of the analysis. The simulation was coherent and consistent, with a significance level of 0.05%. Thus, the proposed model was considered ade-quate to prioritize the maintenance of medical devices in the studied hospital chain. In addition, the methodology adopted for constructing the prioritization model presented feasibility of rep-lication and adaptation to the particularities of other institutions, which emphasizes the scien-tific contribution of the research.