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dc.contributor.advisorSilva, Débora Oliveira da
dc.contributor.authorGatringer, Murilo Martins
dc.date.accessioned2022-08-19T19:06:38Z
dc.date.available2022-08-19T19:06:38Z
dc.date.issued2022-06-21
dc.identifier.urihttp://www.repositorio.jesuita.org.br/handle/UNISINOS/11855
dc.description.abstractInterest in artificial intelligence has increased in recent years from an event that is known as the 4th Industrial Revolution or as it is also known as Industry 4.0. The health area is different, and the search is not for tools that use significantly increased artificial intelligence technologies. The objective of this work is to understand what are the challenges and opportunities for the application of artificial intelligence in hospital environments. The present study was carried out through an organization based on the literature of an applied research, based on a single survey in Porto Alegre, in a hospital organization, located in the Porto Alegre literature of semi-structured interviews with professionals from this institution. From the results obtained in the systematic review of the literature, a theorist was built that seeks to demonstrate the challenges, opportunities, and artificial intelligence applications reported in the literature. A taxonomy was also proposed, aiming to organize both challenges and opportunities in stages for the implementation of artificial intelligence. The reviews obtained in the interviews with the professional data of the hospital institution were compared with the results from the systematic literature, in addition to being confronted with a proposed taxonomy. The results indicate that there is consonance in most aspects analyzed between the findings in the literature and by the professionals of the institution object of analysis.en
dc.description.sponsorshipNenhumapt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio dos Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectInteligência artificialpt_BR
dc.subjectArtificial intelligenceen
dc.titleHealthcare 4.0 – desafios e oportunidades para a implantação da inteligência artificial em ambientes hospitalarespt_BR
dc.typeDissertaçãopt_BR


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