Dissertações em Administração (Mestrado) - PPGAD/ICSA
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Navegando Dissertações em Administração (Mestrado) - PPGAD/ICSA por Assunto "Artificial intelligence"
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Item Acesso aberto (Open Access) Indústria 4.0: a inteligência artificial aliada aos cuidados com a saúde no atendimento ao paciente em hospitais universitários federais no âmbito da Amazônia Legal(Universidade Federal do Pará, 2023-07-17) NOGUEIRA, Vanessa Letícia de Vasconcelos; CARMO, Annibal José Roris Rodriguez Scavarda do; http://lattes.cnpq.br/6070280268935110; SCHIMITH, Cristiano Descovi; http://lattes.cnpq.br/7017921569470426; https://orcid.org/0000-0002-2545-942XResearch into the subject of Artificial Intelligence (AI) has grown over the last five years as a result of an event known as the 4th Industrial Revolution, or also known as Industry 4.0. Artificial intelligence is playing an increasingly important role in the treatment of patients in various areas of medicine. The aim of this research was to identify how the use of Artificial Intelligence (AI) has contributed to patient care. To this end, a literature review was carried out in order to research the theoretical framework that underpins the construction of the research. A framework was then drawn up based on the main theoretical approaches in the current literature. In conjunction, field research was carried out, which included an empirical investigation in the place where the phenomenon occurs, using a semi-structured interview script with health professionals working in Federal University Hospitals (HUFs) located in the Legal Amazon region. The research is justified by the need to improve patient care in the HUFs, with the aim of contributing to new models of service provision. The data obtained from the interviews with professionals at these hospitals was compared with the results from the literature review, and the empirical characteristics of the research brought out positive and negative points in relation to their use of AI in patient care. As a solution, this research presents a model to support patient care with the insertion of AI in HUFS, considering the concept of mimetic isomorphism, in which this practice tends to be homogenized or standardized imminently through its consolidation in the market.