THE PERFORMANCE OF NURSES AND ARTIFICIAL INTELLIGENCE IN DIRECT CARE ASSISTANCE: PREVENTION AND CARE WITH PIs TO THE PATIENT IN INTENSIVE CARE
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2023 |
| Outros Autores: | , , , , , , , , , |
| 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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Brazilian Journal of Implantology and Health Sciences |
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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 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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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 |
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Grupo de Odontologia Especializada (GOE) |
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GOE |
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GOE |
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Brazilian Journal of Implantology and Health Sciences |
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Brazilian Journal of Implantology and Health Sciences |
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Brazilian Journal of Implantology and Health Sciences - Grupo de Odontologia Especializada (GOE) |
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journal.bjihs@periodicosbrasil.com.br |
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1796798438306742272 |