Souza, Ricardo Pires deCamilo, Deyse Gillyane Gomes2019-06-042019-06-042019-02-26CAMILO, Deyse Gillyane Gomes. Análise multicritério na área de saúde: seleção do protocolo de triagem mais adequado para as unidades de saúde de pronto atendimento de Natal. 2019. 104f. Dissertação (Mestrado em Engenharia de Produção) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2019.https://repositorio.ufrn.br/jspui/handle/123456789/27125Multi-objective decision-making processes present a high degree of complexity in their solution, and tools such as Multicriteria Decision Analysis (MCDA) appear as a way of facilitating the decision-maker's solution and ensuring that the decision is made cohesively and efficiently. In the public health sector, decisions are even more delicate, because they work not only with the direct influence of human needs, but also with funds often inferior to the real needs presented. An important point for care in the health units is the triage system, which consists of a pre-evaluation of the patient, classifying it according to the degree of risk to life, from this screening the patient can be treated in a more fast and efficient, streamlining the entire process. Therefore, the present study aims to determine the best triage model for emergency care units (UPAs). For this, this research applied with the four UPAs of Natal-RN, with the help of a literature review, interviews and structured questionnaires, in addition, it will use the multicriteria method known as FITradeoff. Finally, the Spanish Triage System (SET) was the most appropriate protocol for all UPAs, which is presented with high ease of use and implementation; criteria that were identified as more relevant by decision makers.Acesso AbertoAnálise de decisão multicritériosFITradeoffUnidades de pronto atendimentoSistema de triagemAnálise multicritério na área de saúde: seleção do protocolo de triagem mais adequado para as unidades de saúde de pronto atendimento de NatalmasterThesisCNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO