Knowledge management in assessing of the life quality of intensivist nurses during the Covid-19 pandemic: A fuzzy approach

Autores

  • Cláudio Henrique dos Santos Grecco Instituto de Engenharia Nuclear
  • Jaqueline Tavares Viana de Souza Instituto de Engenharia Nuclear
  • Maria Emilia Barrios Rodrigues COPPE/UFRJ - Programa de Engenharia de Produção
  • Francisco Railson Bispo de Barros Universidade do Estado do Amazonas
  • Carlos Alberto Nunes Cosenza COPPE/UFRJ - Programa de Engenharia de Produção
  • Antonio José Leal Costa IESC/UFRJ
  • Evandro Correia da Silva IM/UFRRJ
  • Edison Conde P. Santos IME / RJ

Resumo

Social distancing strategies are still considered one of the strongest evidence for the control of COVID-19, but the recommendation to stay at home does not apply to intensive nursing, leaving them exposed to high particle load of SARS-CoV-2 and great psychological stress when caring for the infected in constantly inappropriate working conditions. Knowledge management (KM) deals with organizational conditions, localization, generation and sharing of knowledge, and the tools to be used in the communication and organization of content. Thus, this work used the principles of the KM to obtain the opinion of the specialists to create a standard for assessing the life quality of the intensivist nurses in a domain in question. The principles of KM also were used to present a model for evaluating the life quality of intensivists nurse, during the Covid-19 pandemic in the Manaus city. This model adopts the concepts and properties of fuzzy set theory to deal with the subjectivity and consistency of human judgments in the evaluation of a domain.

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Publicado

2021-08-12

Como Citar

dos Santos Grecco, C. H., Viana de Souza, J. T., Barrios Rodrigues, M. E. ., Bispo de Barros, F. R. ., Nunes Cosenza, C. A., Leal Costa, A. J. ., … P. Santos, E. C. (2021). Knowledge management in assessing of the life quality of intensivist nurses during the Covid-19 pandemic: A fuzzy approach . Instituto De Engenharia Nuclear: Progress Report, (4). Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/575

Edição

Seção

Nuclear Knowledge Management