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


Cláudio Henrique dos Santos Grecco
Jaqueline Tavares Viana de Souza
Maria Emilia Barrios Rodrigues
Francisco Railson Bispo de Barros
Carlos Alberto Nunes Cosenza
Antonio José Leal Costa
Evandro Correia da Silva
Edison Conde P. Santos


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.


Nuclear Knowledge Management