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Explorando métodos de controlo estatístico em cenários epidemiológicos e na gestão de processos: um estudo comparativo
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| 9.69 MB | Adobe PDF |
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Abstract(s)
Controlo Estatístico de Processos é um tema que ainda suscita muitas dúvidas
quanto ao seu real conceito e à sua aplicação eficaz nas organizações. Apesar de sua
longa trajetória, esses assuntos não são geralmente associados às atividades
cotidianas das pessoas. A dificuldade aumenta quando é necessário reunir e explorar
temas diversos, incluindo processos, recorrendo a métodos estatísticos. Para
engenheiros, estatísticos ou profissionais atuantes na área da qualidade, esses temas
são, possivelmente, simples de serem analisados em conjunto. No entanto, para muitos
envolvidos na gestão das organizações, e até mesmo na gestão de processos, tanto a
análise quanto a interpretação de dados estatísticos são frequentemente encaradas
como complexas ou pouco claras.
Considerando as barreiras enfrentadas no uso de métodos de controlo estatístico
no âmbito empresarial, podemos também questionar como esses métodos são
aplicados para análise de cenários epidemiológicos. Ainda que lidemos com dados
estatísticos relacionados à observação de doenças e casos clínicos, o uso do controlo
estatístico da qualidade como ferramenta de auxílio para prevenção de riscos na área
da Saúde é um tema que carece de investigação aprofundada.
Diante disso, esta dissertação teve o objetivo de explorar a aplicação dos métodos
de controlo estatístico em âmbito organizacional e epidemiológico. Para isso, realizouse um levantamento de estudos com o intuito de destacar a importância dos
conhecimentos estatísticos para os profissionais envolvidos nessa área. Além disso,
avaliou-se os possíveis níveis de conhecimento dos profissionais que atuam na gestão
de processos no Brasil em relação ao uso de métodos estatísticos, considerando as
particularidades e desafios presentes no tema.
As semelhanças e diferenças entre a aplicação do controlo estatístico em
processos operacionais e em estudos epidemiológicos foram exploradas para melhor
compreender cada cenário. Também foram destacadas as contribuições e potenciais
benefícios dessa abordagem para a área da saúde pública e realizado um estudo
introdutório da similaridade entre o uso desses métodos na análise de cenários
epidemiológicos e em processos operacionais, abordando conceitos fundamentais e
principais técnicas utilizadas.
Statistical process control is a subject that still raises many doubts about its real concept and its effective application in organizations. Despite its long history, these subjects are not usually associated with people's everyday activities. The difficulty increases when it is necessary to gather and explore diverse topics, including processes, using statistical methods. For engineers, statisticians or professionals in the quality assurance area, these topics may be simple to analyze together. However, for many involved in the management of organizations, and even in process management, both the analysis and interpretation of statistical data are often seen as complex or unclear. Considering the barriers faced in the use of statistical control methods in business, it is worth questioning how these methods are applied to the analysis of epidemiological scenarios. Even though we deal with statistical data related to the observation of diseases and clinical cases, the use of statistical quality control as a tool to help prevent risks in healthcare is a topic that needs in-depth investigation. In view of this, this dissertation aimed to explore the application of statistical control methods in the organizational and epidemiological spheres, conducting a survey of studies and seeking to highlight the importance of statistical knowledge for professionals involved in this area. In addition, the possible levels of knowledge of professionals working in process management in Brazil regarding the use of statistical methods were evaluated, considering the particularities and challenges present in the theme. The similarities and differences between the application of statistical control in operational processes and in epidemiological studies were explored to better understand each scenario. The contributions and potential benefits of this approach to the public health field were also highlighted and an introductory study of the similarity between the use of these methods in the analysis of epidemiological scenarios and in operational processes was carried out, addressing fundamental concepts and main techniques used.
Statistical process control is a subject that still raises many doubts about its real concept and its effective application in organizations. Despite its long history, these subjects are not usually associated with people's everyday activities. The difficulty increases when it is necessary to gather and explore diverse topics, including processes, using statistical methods. For engineers, statisticians or professionals in the quality assurance area, these topics may be simple to analyze together. However, for many involved in the management of organizations, and even in process management, both the analysis and interpretation of statistical data are often seen as complex or unclear. Considering the barriers faced in the use of statistical control methods in business, it is worth questioning how these methods are applied to the analysis of epidemiological scenarios. Even though we deal with statistical data related to the observation of diseases and clinical cases, the use of statistical quality control as a tool to help prevent risks in healthcare is a topic that needs in-depth investigation. In view of this, this dissertation aimed to explore the application of statistical control methods in the organizational and epidemiological spheres, conducting a survey of studies and seeking to highlight the importance of statistical knowledge for professionals involved in this area. In addition, the possible levels of knowledge of professionals working in process management in Brazil regarding the use of statistical methods were evaluated, considering the particularities and challenges present in the theme. The similarities and differences between the application of statistical control in operational processes and in epidemiological studies were explored to better understand each scenario. The contributions and potential benefits of this approach to the public health field were also highlighted and an introductory study of the similarity between the use of these methods in the analysis of epidemiological scenarios and in operational processes was carried out, addressing fundamental concepts and main techniques used.
Description
Keywords
Métodos estatísticos Controlo Estatístico de Processos (CEP) Parâmetros epidemiológicos Processos de gestão Conhecimentos estatísticos Statistical methods Statistical process control Epidemiological parameters Process management Statistical knowledge
Citation
Leidenfrost, Gleice Mendonça - Explorando métodos de controlo estatístico em cenários epidemiológicos e na gestão de processos [Em linha]: um estudo comparativo. Lisboa: [s.n.], 2023. 141 p.