El uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping Review
La inteligencia artificial y el aprendizaje automático son tecnologías que ayudan a descubrir patrones en los datos que pueden informar la toma de decisiones clínicas. La Asociación de Enfermeras Registradas de Ontario ha utilizado técnicas de inteligencia artificial para ayudar a comprender las prá...
- Autores:
-
Singla, Shina
Howitt, Lyndsay
Medeiros, Christina
Grinspun, Doris
Naik, Shanoja
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Universidad Autónoma de Bucaramanga - UNAB
- Repositorio:
- Repositorio UNAB
- Idioma:
- spa
- OAI Identifier:
- oai:repository.unab.edu.co:20.500.12749/26730
- Palabra clave:
- Guías de Práctica Clínica como Asunto
Enfermería Basada en la Evidencia
Aprendizaje Automático
Inteligencia Artificial
Sistemas de Información en Salud
Medical sciences
Life sciences
Health sciences
Practice Guidelines as Topic
Evidence-Based Nursing
Machine Learning
Artificial Intelligence
Health Information Systems
Ciências médicas
Ciências da vida
Ciências da saúde
Guias de Prática Clínica como Assunto
Enfermagem Baseada em Evidências
Aprendizado de Máquina
Inteligência Artificial
Sistemas de Informação em Saúde
Ciencias médicas
Ciencias de la vida
Ciencias de la salud
- Rights
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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| dc.title.spa.fl_str_mv |
El uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping Review |
| dc.title.translated.eng.fl_str_mv |
The Use of Artificial Intelligence Techniques in Nursing Data Systems: Scoping Review |
| dc.title.translated.por.fl_str_mv |
O uso de técnicas de inteligência artificial em sistemas de dados de enfermagem: Scoping Review |
| title |
El uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping Review |
| spellingShingle |
El uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping Review Guías de Práctica Clínica como Asunto Enfermería Basada en la Evidencia Aprendizaje Automático Inteligencia Artificial Sistemas de Información en Salud Medical sciences Life sciences Health sciences Practice Guidelines as Topic Evidence-Based Nursing Machine Learning Artificial Intelligence Health Information Systems Ciências médicas Ciências da vida Ciências da saúde Guias de Prática Clínica como Assunto Enfermagem Baseada em Evidências Aprendizado de Máquina Inteligência Artificial Sistemas de Informação em Saúde Ciencias médicas Ciencias de la vida Ciencias de la salud |
| title_short |
El uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping Review |
| title_full |
El uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping Review |
| title_fullStr |
El uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping Review |
| title_full_unstemmed |
El uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping Review |
| title_sort |
El uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping Review |
| dc.creator.fl_str_mv |
Singla, Shina Howitt, Lyndsay Medeiros, Christina Grinspun, Doris Naik, Shanoja |
| dc.contributor.author.none.fl_str_mv |
Singla, Shina Howitt, Lyndsay Medeiros, Christina Grinspun, Doris Naik, Shanoja |
| dc.contributor.orcid.spa.fl_str_mv |
Singla, Shina [0000-0003-1341-4395] Howitt, Lyndsay [0000-0002-6424-2290] Medeiros, Christina [0000-0002-3956-7472] Grinspun, Doris [0000-0002-2499-9766] Naik, Shanoja [0000-0002-5742-6075] |
| dc.subject.spa.fl_str_mv |
Guías de Práctica Clínica como Asunto Enfermería Basada en la Evidencia Aprendizaje Automático Inteligencia Artificial Sistemas de Información en Salud |
| topic |
Guías de Práctica Clínica como Asunto Enfermería Basada en la Evidencia Aprendizaje Automático Inteligencia Artificial Sistemas de Información en Salud Medical sciences Life sciences Health sciences Practice Guidelines as Topic Evidence-Based Nursing Machine Learning Artificial Intelligence Health Information Systems Ciências médicas Ciências da vida Ciências da saúde Guias de Prática Clínica como Assunto Enfermagem Baseada em Evidências Aprendizado de Máquina Inteligência Artificial Sistemas de Informação em Saúde Ciencias médicas Ciencias de la vida Ciencias de la salud |
| dc.subject.keywords.eng.fl_str_mv |
Medical sciences Life sciences Health sciences Practice Guidelines as Topic Evidence-Based Nursing Machine Learning Artificial Intelligence Health Information Systems |
| dc.subject.keywords.por.fl_str_mv |
Ciências médicas Ciências da vida Ciências da saúde Guias de Prática Clínica como Assunto Enfermagem Baseada em Evidências Aprendizado de Máquina Inteligência Artificial Sistemas de Informação em Saúde |
| dc.subject.lemb.spa.fl_str_mv |
Ciencias médicas Ciencias de la vida Ciencias de la salud |
| description |
La inteligencia artificial y el aprendizaje automático son tecnologías que ayudan a descubrir patrones en los datos que pueden informar la toma de decisiones clínicas. La Asociación de Enfermeras Registradas de Ontario ha utilizado técnicas de inteligencia artificial para ayudar a comprender las prácticas clínicas que generan impacto y las estrategias de implementación. El objetivo de esta revisión es descubrir la adaptación e implementación de diversas técnicas de inteligencia artificial y aprendizaje automático en varios entornos sanitarios, utilizando diferentes sistemas de datos que almacenan datos relacionados con la enfermería. Metodología. En marzo de 2022, se realizó una revisión de alcance para buscar literatura revisada por pares utilizando los siguientes términos: «enfermería», «inteligencia artificial», «sistemas de datos», «estadística» y «datos agregados». Se excluyeron los estudios si no eran relevantes para la enfermería, utilizaban análisis cualitativos o de métodos mixtos, si eran artículos de revisión bibliográfica y no se centraban en la inteligencia artificial o en el uso de datos a nivel de paciente. Resultados. Se recuperó un total de 2,627 artículos, de los cuales 1,518 quedaron tras la eliminación de duplicados. Tras la revisión de títulos y resúmenes, quedaron 1,347 artículos. Posteriormente, con la revisión del texto completo, quedaron 13 estudios. Las técnicas de inteligencia artificial utilizadas por los sistemas de datos sanitarios incluyen, entre otras, la regresión, las redes neuronales, la clasificación y los métodos basados en gráficos. Discusión. Existe un vacío en la aplicación de métodos de inteligencia artificial en los sistemas de datos que evalúan el impacto de la implementación de buenas prácticas en enfermería. Se necesitan más sistemas de datos que empleen técnicas de inteligencia artificial para apoyar la evaluación de buenas prácticas en enfermería y otras profesiones de la salud. Conclusiones. Se recuperaron diversas técnicas de inteligencia artificial en sistemas de datos que almacenan datos relacionados con la enfermería. Sin embargo, se necesitan más sistemas de datos e investigación en este ámbito. |
| publishDate |
2024 |
| dc.date.accessioned.none.fl_str_mv |
2024-09-24T15:46:03Z |
| dc.date.available.none.fl_str_mv |
2024-09-24T15:46:03Z |
| dc.date.issued.none.fl_str_mv |
2024-03-31 |
| dc.type.eng.fl_str_mv |
Article |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.local.spa.fl_str_mv |
Artículo |
| dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.identifier.issn.spa.fl_str_mv |
i-ISSN 0123-7047 e-ISSN 2382-4603 |
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http://hdl.handle.net/20.500.12749/26730 |
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instname:Universidad Autónoma de Bucaramanga UNAB |
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reponame:Repositorio Institucional UNAB |
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repourl:https://repository.unab.edu.co |
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https://doi.org/10.29375/01237047.4634 |
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i-ISSN 0123-7047 e-ISSN 2382-4603 instname:Universidad Autónoma de Bucaramanga UNAB reponame:Repositorio Institucional UNAB repourl:https://repository.unab.edu.co |
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http://hdl.handle.net/20.500.12749/26730 https://doi.org/10.29375/01237047.4634 |
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https://revistas.unab.edu.co/index.php/medunab/article/view/4634/4023 |
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https://revistas.unab.edu.co/index.php/medunab/issue/view/294 |
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Singla, Shina4144a500-1e2d-47f3-b1b8-2d13e9a2f626Howitt, Lyndsaybd41bb35-cb25-4692-bb5d-83a6f983a2d8Medeiros, Christina6267901b-7d54-400c-8620-c0a733e66babGrinspun, Dorisad11f0ae-1742-4fdb-b464-e5e187677619Naik, Shanojacee03666-2c5f-4ccb-8042-bd3bf2d5437fSingla, Shina [0000-0003-1341-4395]Howitt, Lyndsay [0000-0002-6424-2290]Medeiros, Christina [0000-0002-3956-7472]Grinspun, Doris [0000-0002-2499-9766]Naik, Shanoja [0000-0002-5742-6075]2024-09-24T15:46:03Z2024-09-24T15:46:03Z2024-03-31i-ISSN 0123-7047e-ISSN 2382-4603http://hdl.handle.net/20.500.12749/26730instname:Universidad Autónoma de Bucaramanga UNABreponame:Repositorio Institucional UNABrepourl:https://repository.unab.edu.cohttps://doi.org/10.29375/01237047.4634La inteligencia artificial y el aprendizaje automático son tecnologías que ayudan a descubrir patrones en los datos que pueden informar la toma de decisiones clínicas. La Asociación de Enfermeras Registradas de Ontario ha utilizado técnicas de inteligencia artificial para ayudar a comprender las prácticas clínicas que generan impacto y las estrategias de implementación. El objetivo de esta revisión es descubrir la adaptación e implementación de diversas técnicas de inteligencia artificial y aprendizaje automático en varios entornos sanitarios, utilizando diferentes sistemas de datos que almacenan datos relacionados con la enfermería. Metodología. En marzo de 2022, se realizó una revisión de alcance para buscar literatura revisada por pares utilizando los siguientes términos: «enfermería», «inteligencia artificial», «sistemas de datos», «estadística» y «datos agregados». Se excluyeron los estudios si no eran relevantes para la enfermería, utilizaban análisis cualitativos o de métodos mixtos, si eran artículos de revisión bibliográfica y no se centraban en la inteligencia artificial o en el uso de datos a nivel de paciente. Resultados. Se recuperó un total de 2,627 artículos, de los cuales 1,518 quedaron tras la eliminación de duplicados. Tras la revisión de títulos y resúmenes, quedaron 1,347 artículos. Posteriormente, con la revisión del texto completo, quedaron 13 estudios. Las técnicas de inteligencia artificial utilizadas por los sistemas de datos sanitarios incluyen, entre otras, la regresión, las redes neuronales, la clasificación y los métodos basados en gráficos. Discusión. Existe un vacío en la aplicación de métodos de inteligencia artificial en los sistemas de datos que evalúan el impacto de la implementación de buenas prácticas en enfermería. Se necesitan más sistemas de datos que empleen técnicas de inteligencia artificial para apoyar la evaluación de buenas prácticas en enfermería y otras profesiones de la salud. Conclusiones. Se recuperaron diversas técnicas de inteligencia artificial en sistemas de datos que almacenan datos relacionados con la enfermería. Sin embargo, se necesitan más sistemas de datos e investigación en este ámbito.Artificial intelligence and machine learning are technologies that assist in uncovering patterns in data that can inform clinical decision-making. The Registered Nurses’ Association of Ontario has used artificial intelligence techniques to assist in understanding impactful clinical practices and implementation strategies. This scoping review aimed to discover the adaptation and implementation of various artificial intelligence and machine learning techniques in various healthcare settings using different data systems that house nursing-related data. Methodology. In March 2022, a scoping review was conducted to search for peer-reviewed literature using the following terms: “nursing”, “artificial intelligence”, “data systems”, “statistics”, and “aggregated data”. Studies were excluded if they were not relevant to nursing, utilized qualitative or mixed-methods analyses, were literature review articles, and did not focus on artificial intelligence or the use of patient-level data. Results. A total of 2,627 articles were retrieved, with 1,518 articles remaining after de-duplication. Through title and abstract screening, 1,347 articles remained. Following the full-text screening, 13 studies remained. Artificial intelligence techniques used by healthcare data systems include regression, neural networks, classification, and graph-based methods, among others. Discussion. There is a gap in the application of artificial intelligence methods in data systems that evaluate the impact of implementing best practices in nursing. More data systems are needed that employ artificial intelligence techniques to support the evaluation of best practices in nursing and other health professions. Conclusions. Various artificial intelligence techniques in data systems housing nursing-related data were retrieved. However, more data systems and research are needed in this area.A inteligência artificial e o aprendizado de máquina são tecnologias que ajudam a descobrir padrões em dados que podem informar a tomada de decisões clínicas. A Associação de Enfermeiras Registradas de Ontário vem utilizando técnicas de inteligência artificial para ajudar a entender as práticas clínicas que geram impacto e as estratégias de implementação. O objetivo desta revisão é descobrir a adaptação e implementação de diversas técnicas de inteligência artificial e aprendizado de máquina em diversos ambientes de saúde, utilizando diferentes sistemas de dados que armazenam dados relacionados à enfermagem. Metodologia. Em março de 2022, foi realizada uma revisão de escopo para pesquisar literatura revisada por pares usando os seguintes termos: «enfermagem», «inteligência artificial», «sistemas de dados», «estatísticas» e «dados agregados». Foram excluídos os estudos que não se mostravam relevantes para a enfermagem, utilizavam análises qualitativas ou de métodos mistos, se eram de artigos de revisão de literatura e não focavam na inteligência artificial ou no uso de dados no nível do paciente. Resultados. Foram recuperados 2,627 artigos no total, dos quais 1,518 permaneceram após a eliminação das duplicatas. Após a revisão de títulos e resumos, restaram 1,347 artigos. Posteriormente, com a revisão do texto completo, restaram 13 estudos. As técnicas de inteligência artificial usadas pelos sistemas de dados de saúde incluem, entre outras, regressão, redes neurais, classificação e métodos baseados em gráficos. Discussão. 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J Pediatr Nurs [Internet]. 2020;52:5-9. doi: https://doi.org/10.1016/j.pedn.2020.01.012http://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)Atribución-NoComercial-SinDerivadas 2.5 Colombiahttp://purl.org/coar/access_right/c_abf2Vol. 26 Núm. 3 (2023): diciembre 2023 - marzo 2024: Personal de Salud; Conocimiento; Inteligencia Artificial; 512-521Guías de Práctica Clínica como AsuntoEnfermería Basada en la EvidenciaAprendizaje AutomáticoInteligencia ArtificialSistemas de Información en SaludMedical sciencesLife sciencesHealth sciencesPractice Guidelines as TopicEvidence-Based NursingMachine LearningArtificial IntelligenceHealth Information SystemsCiências médicasCiências da vidaCiências da saúdeGuias de Prática Clínica como AssuntoEnfermagem Baseada em EvidênciasAprendizado de MáquinaInteligência ArtificialSistemas de Informação em SaúdeCiencias médicasCiencias de la vidaCiencias de la saludEl uso de técnicas de inteligencia artificial en los sistemas de datos de enfermería: Scoping ReviewThe Use of Artificial Intelligence Techniques in Nursing Data Systems: Scoping ReviewO uso de técnicas de inteligência artificial em sistemas de dados de enfermagem: Scoping ReviewArticleinfo:eu-repo/semantics/articleArtículohttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/resource_type/c_6501http://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85Universidad Autónoma de Bucaramanga UNABFacultad Ciencias de la SaludORIGINALArtículo.pdfArtículo.pdfArtículoapplication/pdf740194https://repository.unab.edu.co/bitstream/20.500.12749/26730/1/Art%c3%adculo.pdf00d8fe8f940402768b9c734750271931MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-8183https://repository.unab.edu.co/bitstream/20.500.12749/26730/2/license.txt737346e09d47a3db691f1370de49426aMD52open accessTHUMBNAILArtículo.pdf.jpgArtículo.pdf.jpgIM Thumbnailimage/jpeg11427https://repository.unab.edu.co/bitstream/20.500.12749/26730/3/Art%c3%adculo.pdf.jpg73391ebea6cbed51c98738fd2d971cfbMD53open access20.500.12749/26730oai:repository.unab.edu.co:20.500.12749/267302024-09-24 22:00:52.154open accessRepositorio Institucional | Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.coTGFzIHB1YmxpY2FjaW9uZXMgZGUgbGEgcmV2aXN0YSBNZWRVTkFCIGVzdMOhbiBiYWpvIHVuYSBMaWNlbmNpYSBkZSBBdHJpYnVjacOzbiBkZSBCaWVuZXMgQ29tdW5lcyBDcmVhdGl2b3MgKENyZWF0aXZlIENvbW1vbnMsIENDKSB0aXBvIDQuMCwgY29uIGRlcmVjaG9zIGRlIGF0cmlidWNpw7NuIHkgbm8gY29tZXJjaWFs |