Análise de indicadores de manutenção dos monitores multiparâmetros do Hospital de Clínicas de Uberlândia da Universidade Federal de Uberlândia

• Autor(a) principal: Mello, Natália Policena de
• Data de Publicação: 2017
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFU
• Texto Completo: https://repositorio.ufu.br/handle/123456789/26743
• topic: Indicadores de manutenção; Monitores multiparâmetros; CNPQ::ENGENHARIAS

This work presents an analysis of the maintenance indicators of multiparameter monitors with order the analyze the reliability, maintenance and availability of these equipments. For a more efficient management, the manager must make use of maintenance indicators along with other qualitative factors, such as routine training, which assists in the strategic evaluation of each equipment, providing data, creating parameters and establishing quality goals . The research was carried out in the Bioengineering sector of the University Hospital of Uberlândia of the Federal University of Uberlândia based on the data collection of the Sistema de BioEngenharia (SisBiE), from 2014 to 2017. The marks of the Multiparameter Monitors were referenced as letters, A to J not to compromise them. In this work 1281 PSMs of multiparameter monitors and 137 monitors without PSM were analyzed, so that the indicators Mean Time Between Failures, Mean Time to Repair, the availability and the number of Service Requests and Maintenance (PSM) were calculated. A total of 490 Multiparameter Monitors were found in the database, of which 328 were active and 162 were inactive. The monitors that have open PSMs were segregated from the analysis of the indicators, since it is not possible to evaluate them without the closing date of the PSM. First, a comparison of the indicators between the models of each brand was made, for those who had more than one, by means of arithmetic mean. Finally, a general comparison was made between brands. This comparison was also made by means of the arithmetic mean of the indicators by brand. The results showed that the equipment of brands A, D and F are the ones with the worst indicators.