A Concept Analysis on the Use of Artificial Intelligence in Nursing

Shang, Zhida

doi:10.7759/cureus.14857

Cited by 15 publications

(16 citation statements)

References 34 publications

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“…(19) La adopción general de nuevas tecnologías es bastante lenta y se considera que el uso de la IA en enfermería está en sus inicios. (20) Las investigaciones consultadas aportaron que la participación de las enfermeras en el diseño de investigaciones relacionadas con la IA, se realiza en la fase de ejecución, lo que motiva a demandar mayor participación en la creación de dispositivos o prototipos para el cuidado de las personas; para ello, la enfermera debe desarrollar competencias tecnológicas para lograr una participación activa en todo el proceso de desarrollo de las tecnologias.…”

Section: Discussionunclassified

Artificial intelligence in the field of nursing: attendance, administration and education implications

Mejías¹,

Coronado²,

Peralta³

2022

Salud, Ciencia y Tecnología

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Antecedentes: La investigación sobre tecnologías basadas en inteligencia artificial en el cuidado de la salud se ha incrementado durante la última década, con aplicaciones que muestran un gran potencial para ayudar y mejorar la atención. Objetivo: analizar el uso de la inteligencia artificial en el campo de la enfermería y sus implicaciones en la asistencia, administración y educación. Materiales y métodos: investigación documental. Los artículos consultados se recopilaron en las siguientes bases de datos: 39 artículos en PubMed, 2 artículos en Google académico y 1 artículo en Scielo, publicados entre 2018 - 2022. Resultados: 27 (64%) artículos que mencionan el uso de las IA, para desarrollar prototipos en el cuidado del paciente, 3 (7,15%) artículos destacan la importancia de la IA en la toma de decisiones, gestión y calidad del servicio y 3 (7,15%) artículos mencionan el desarrollo de habilidades, pensamiento crítico y confianza. Conclusiones: se requiere mayor participación de las enfermeras en el diseño de los prototipos de cuidado, lo que implica adquirir conocimientos acerca de la tecnología y la inteligencia artificial como herramientas para brindar cuidado con calidad.

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Section: Discussionunclassified

Artificial intelligence in the field of nursing: attendance, administration and education implications

Mejías¹,

Coronado²,

Peralta³

2022

Salud, Ciencia y Tecnología

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“…Therefore, there is an increasing emphasis on the use of appropriate AI techniques to predict prognosis (Singla et al, 2019;Yousefi & Tucker, 2020). Consequently, accurate prediction helps to target nursing interventions better (Ljubic et al, 2020) Nurses, as the largest part of all workers involved in health systems, will benefit enormously from AI (Shang, 2021). The role of nurses is to be actively involved in decision-making regarding the implementation of AI in the health care system and to ensure that they ensure that these changes are implemented in accordance with the ethical principles and values of nursing (Buchanan et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…Nurses, as the largest part of all workers involved in health systems, will benefit enormously from AI (Shang, 2021 ). The role of nurses is to be actively involved in decision‐making regarding the implementation of AI in the health care system and to ensure that they ensure that these changes are implemented in accordance with the ethical principles and values of nursing (Buchanan et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature

Gosak

Martinović

Lorber

et al. 2022

J Nursing Management

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Aim: The aim of this review is to examine the effectiveness of artificial intelligence in predicting multimorbid diabetes-related complications.Background: In diabetic patients, several complications are often present, which have a significant impact on the quality of life; therefore, it is crucial to predict the level of risk for diabetes and its complications.Evaluation: International databases PubMed, CINAHL, MEDLINE and Scopus were searched using the terms artificial intelligence, diabetes mellitus and prediction of complications to identify studies on the effectiveness of artificial intelligence for predicting multimorbid diabetes-related complications. The results were organized by outcomes to allow more efficient comparison.Key issues: Based on the inclusion/exclusion criteria, 11 articles were included in the final analysis. The most frequently predicted complications were diabetic neuropathy (n = 7). Authors included from two to a maximum of 14 complications. The most commonly used prediction models were penalized regression, random forest and Naïve Bayes model neural network. Conclusion:The use of artificial intelligence can predict the risks of diabetes complications with greater precision based on available multidimensional datasets and provides an important tool for nurses working in preventive health care.Implications for Nursing Management: Using artificial intelligence contributes to a better quality of care, better autonomy of patients in diabetes management and reduction of complications, costs of medical care and mortality.

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“…Using this analysis (Shang, 2021) the term can be related to 'machine learning' mostly but also with 'neural networks' and 'decision trees'.…”

mentioning

confidence: 99%

“…One cited definition of artificial intelligence for example (Shang, 2021) is 'multiple technologies that can augment human activities in the form of machine learning, to process and learn with raw data and deep learning (…) to stimulate decision-making using complex artificial neural networks'.…”

mentioning

confidence: 99%

Letter to the editor regarding ‘The role of artificial intelligence in enhancing clinical nursing care: A scoping review’

Vitor

2022

J Nursing Management

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A Concept Analysis on the Use of Artificial Intelligence in Nursing

Cited by 15 publications

References 34 publications

Artificial intelligence in the field of nursing: attendance, administration and education implications

Artificial intelligence in the field of nursing: attendance, administration and education implications

Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature

Letter to the editor regarding ‘The role of artificial intelligence in enhancing clinical nursing care: A scoping review’

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