THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE

Detalhes bibliográficos
Autor(a) principal: Fonseca, Maximiana Aparecida dos Reis
Data de Publicação: 2023
Outros Autores: Silva, João Vitor de Oliveira, Carvalho, Joyce Alves de, Andrade, Laryssa dos Santos, Tavares, Maria do Carmo Soares de Azevedo, Lima, Natália Lima de, Castro, Rasiel Azevedo, Pinheiro, Selma Xavier Silva Lima, Rocha, Valéria Soares da, Sousa, Vitória Alice Alencar, Guittler, Gilcimara de Oliveira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Brazilian Journal of Implantology and Health Sciences
Texto Completo: https://bjihs.emnuvens.com.br/bjihs/article/view/402
Resumo: Objective: to identify the functions of the Nurse in the Intensive Care Unit and the functions of Artificial Intelligence (ChatGPT3) in the face of direct care for patients in intensive care for the prevention and care of PIs. Methodology: the foundation of the research was based on integrative literature research and the collision of the data with the Artificial Intelligence ChatGPT3 from OpenAI.com in a quantitative and qualitative way with the selected data. Results: The performance data of professional nurses in the intensive care unit for coping with artificial intelligence showed, at certain points, signs of reflection and concerns about the arrival of artificial intelligence. Conclusion: The role of the nurse in a scenario with Artificial Intelligence as a partner will require adaptation from the nurse, since, being a machine, it presents high levels of effectiveness and performance, even simulating human action in many processes to a high degree. . Keywords: Artificial Intelligence, Nurse, ChatGPT3
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spelling THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CAREA ATUAÇÃO DO ENFERMEIRO E DA INTELIGÊNCIA ARTIFICIAL NA ASSISTÊNCIA DO CUIDADO DIRETO: PREVENÇÃO E CUIDADOS COM LPPs AO PACIENTE EM CUIDADOS INTENSIVOSInteligência Artificial, Enfermeiro, ChatGPT3Artificial Intelligence, Nurse, ChatGPT3Objective: to identify the functions of the Nurse in the Intensive Care Unit and the functions of Artificial Intelligence (ChatGPT3) in the face of direct care for patients in intensive care for the prevention and care of PIs. Methodology: the foundation of the research was based on integrative literature research and the collision of the data with the Artificial Intelligence ChatGPT3 from OpenAI.com in a quantitative and qualitative way with the selected data. Results: The performance data of professional nurses in the intensive care unit for coping with artificial intelligence showed, at certain points, signs of reflection and concerns about the arrival of artificial intelligence. Conclusion: The role of the nurse in a scenario with Artificial Intelligence as a partner will require adaptation from the nurse, since, being a machine, it presents high levels of effectiveness and performance, even simulating human action in many processes to a high degree. . Keywords: Artificial Intelligence, Nurse, ChatGPT3Objetivo: identificar as funções do Enfermeiro na Unidade de Terapia Intensiva e o papel da Inteligência Artificial (ChatGPT3) nas condutas e nos cuidados diretos aos pacientes submetidos aos tratamentos intensivos, buscando à prevenção e os cuidados para as LPPs. Metodologia: a fundamentação deste estudo foi feita através da pesquisa integrativa da literatura e utilizou-se a análise dos dados entre Inteligência Artificial ChatGPT3 da OpenAI.com de forma quanti-qualitativa e dos dados selecionados. Resultados: Os dados foram obtidos através da análise da atuação dos profissionais enfermeiros nas unidades de terapia intensiva e da análise da utilização da inteligência artificial nesse cenário. A atuação da Inteligência Artificial neste contexto hospitalar, apresentou certos pontos reflexivos e preocupantes. Conclusão: A atuação do enfermeiro diante de um contexto que utiliza a inteligência Artificial, vai exigir adaptação e aprimoramento constantemente , visto que, como é uma máquina, esta apresenta excelentes níveis de eficiência e eficácia, demonstrando um alto padrão na qualidade dos processos executados, equiparando-se a atuação humana.Specialized Dentistry Group2023-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://bjihs.emnuvens.com.br/bjihs/article/view/40210.36557/2674-8169.2023v5n4p1469-1486Brazilian Journal of Implantology and Health Sciences ; Vol. 5 No. 4 (2023): BJIHS QUALIS B3; 1469-1486Brazilian Journal of Implantology and Health Sciences ; Vol. 5 Núm. 4 (2023): BJIHS QUALIS B3; 1469-1486Brazilian Journal of Implantology and Health Sciences ; v. 5 n. 4 (2023): BJIHS QUALIS B3; 1469-14862674-8169reponame:Brazilian Journal of Implantology and Health Sciencesinstname:Grupo de Odontologia Especializada (GOE)instacron:GOEporhttps://bjihs.emnuvens.com.br/bjihs/article/view/402/610Copyright (c) 2023 Maximiana Aparecida dos Reis Fonseca, João Vitor de Oliveira Silva, Joyce Alves de Carvalho, Laryssa dos Santos Andrade, Maria do Carmo Soares de Azevedo Tavares, Natália Lima de Lima, Rasiel Azevedo Castro, Selma Xavier Silva Lima Pinheiro, Valéria Soares da Rocha, Vitória Alice Alencar Sousa, Gilcimara de Oliveira Guittlerhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFonseca, Maximiana Aparecida dos ReisSilva, João Vitor de OliveiraCarvalho, Joyce Alves deAndrade, Laryssa dos SantosTavares, Maria do Carmo Soares de AzevedoLima, Natália Lima deCastro, Rasiel AzevedoPinheiro, Selma Xavier Silva LimaRocha, Valéria Soares daSousa, Vitória Alice AlencarGuittler, Gilcimara de Oliveira2023-09-12T20:59:38Zoai:ojs.bjihs.emnuvens.com.br:article/402Revistahttps://bjihs.emnuvens.com.br/bjihsONGhttps://bjihs.emnuvens.com.br/bjihs/oaijournal.bjihs@periodicosbrasil.com.br2674-81692674-8169opendoar:2023-09-12T20:59:38Brazilian Journal of Implantology and Health Sciences - Grupo de Odontologia Especializada (GOE)false
dc.title.none.fl_str_mv THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE
A ATUAÇÃO DO ENFERMEIRO E DA INTELIGÊNCIA ARTIFICIAL NA ASSISTÊNCIA DO CUIDADO DIRETO: PREVENÇÃO E CUIDADOS COM LPPs AO PACIENTE EM CUIDADOS INTENSIVOS
title THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE
spellingShingle THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE
Fonseca, Maximiana Aparecida dos Reis
Inteligência Artificial, Enfermeiro, ChatGPT3
Artificial Intelligence, Nurse, ChatGPT3
title_short THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE
title_full THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE
title_fullStr THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE
title_full_unstemmed THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE
title_sort THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE
author Fonseca, Maximiana Aparecida dos Reis
author_facet Fonseca, Maximiana Aparecida dos Reis
Silva, João Vitor de Oliveira
Carvalho, Joyce Alves de
Andrade, Laryssa dos Santos
Tavares, Maria do Carmo Soares de Azevedo
Lima, Natália Lima de
Castro, Rasiel Azevedo
Pinheiro, Selma Xavier Silva Lima
Rocha, Valéria Soares da
Sousa, Vitória Alice Alencar
Guittler, Gilcimara de Oliveira
author_role author
author2 Silva, João Vitor de Oliveira
Carvalho, Joyce Alves de
Andrade, Laryssa dos Santos
Tavares, Maria do Carmo Soares de Azevedo
Lima, Natália Lima de
Castro, Rasiel Azevedo
Pinheiro, Selma Xavier Silva Lima
Rocha, Valéria Soares da
Sousa, Vitória Alice Alencar
Guittler, Gilcimara de Oliveira
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fonseca, Maximiana Aparecida dos Reis
Silva, João Vitor de Oliveira
Carvalho, Joyce Alves de
Andrade, Laryssa dos Santos
Tavares, Maria do Carmo Soares de Azevedo
Lima, Natália Lima de
Castro, Rasiel Azevedo
Pinheiro, Selma Xavier Silva Lima
Rocha, Valéria Soares da
Sousa, Vitória Alice Alencar
Guittler, Gilcimara de Oliveira
dc.subject.por.fl_str_mv Inteligência Artificial, Enfermeiro, ChatGPT3
Artificial Intelligence, Nurse, ChatGPT3
topic Inteligência Artificial, Enfermeiro, ChatGPT3
Artificial Intelligence, Nurse, ChatGPT3
description Objective: to identify the functions of the Nurse in the Intensive Care Unit and the functions of Artificial Intelligence (ChatGPT3) in the face of direct care for patients in intensive care for the prevention and care of PIs. Methodology: the foundation of the research was based on integrative literature research and the collision of the data with the Artificial Intelligence ChatGPT3 from OpenAI.com in a quantitative and qualitative way with the selected data. Results: The performance data of professional nurses in the intensive care unit for coping with artificial intelligence showed, at certain points, signs of reflection and concerns about the arrival of artificial intelligence. Conclusion: The role of the nurse in a scenario with Artificial Intelligence as a partner will require adaptation from the nurse, since, being a machine, it presents high levels of effectiveness and performance, even simulating human action in many processes to a high degree. . Keywords: Artificial Intelligence, Nurse, ChatGPT3
publishDate 2023
dc.date.none.fl_str_mv 2023-09-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjihs.emnuvens.com.br/bjihs/article/view/402
10.36557/2674-8169.2023v5n4p1469-1486
url https://bjihs.emnuvens.com.br/bjihs/article/view/402
identifier_str_mv 10.36557/2674-8169.2023v5n4p1469-1486
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://bjihs.emnuvens.com.br/bjihs/article/view/402/610
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Specialized Dentistry Group
publisher.none.fl_str_mv Specialized Dentistry Group
dc.source.none.fl_str_mv Brazilian Journal of Implantology and Health Sciences ; Vol. 5 No. 4 (2023): BJIHS QUALIS B3; 1469-1486
Brazilian Journal of Implantology and Health Sciences ; Vol. 5 Núm. 4 (2023): BJIHS QUALIS B3; 1469-1486
Brazilian Journal of Implantology and Health Sciences ; v. 5 n. 4 (2023): BJIHS QUALIS B3; 1469-1486
2674-8169
reponame:Brazilian Journal of Implantology and Health Sciences
instname:Grupo de Odontologia Especializada (GOE)
instacron:GOE
instname_str Grupo de Odontologia Especializada (GOE)
instacron_str GOE
institution GOE
reponame_str Brazilian Journal of Implantology and Health Sciences
collection Brazilian Journal of Implantology and Health Sciences
repository.name.fl_str_mv Brazilian Journal of Implantology and Health Sciences - Grupo de Odontologia Especializada (GOE)
repository.mail.fl_str_mv journal.bjihs@periodicosbrasil.com.br
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