Utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review
The integration of artificial intelligence (AI) into nursing care within healthcare settings is on the rise, promising significant benefits for patients. The objective of this study is to investigate the current trends and analyse their evidence on this topic. This study utilised the Scopus database...
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2024
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my.iium.irep.1127842024-07-01T02:40:50Z http://irep.iium.edu.my/112784/ Utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review Wan Mamat, Wan Hasliza Mahat, Nur Ain Zainudin, Airul Azizan Salah, Machouche Mohamad Shariff, Nurasikin Syed Elias, Sharifah Munirah Isa, Siti Nor Ismalina RT85 Nursing Ethics The integration of artificial intelligence (AI) into nursing care within healthcare settings is on the rise, promising significant benefits for patients. The objective of this study is to investigate the current trends and analyse their evidence on this topic. This study utilised the Scopus database to identify and compile comprehensive information from English-language articles on AI in nursing care. Through bibliometric indicators, the study conducted a quali-quantitative analysis to examine the growth rate of publications and subject areas and identified the most active countries, institutions, journals, and authors. Visual cooperation network maps for countries, organisations, authors, citations, keywords, and other pertinent aspects were generated and analysed using VOSviewer and the Bibliometrix R-package. The search identified 223 non- duplicated articles. Fewer publications were noted between 1985 and 2015, which increased notably in subsequent years, excluding 2019. The United States emerged as the most dominant country, with the Journal of Nursing Management and the Journal of Robotic and Mechatronics being the top productive journals. This bibliometric analysis not only offers a comprehensive overview to assist researchers in understanding important articles, journals, and potential collaborators in the field of AI related to nursing care but also analyses the historical evolution, and identifies hot spots, and predicts future trends in the research topic. Academic Inspired Network 2024-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/112784/1/112784_Utilisation%20of%20artificial%20intelligence.pdf Wan Mamat, Wan Hasliza and Mahat, Nur Ain and Zainudin, Airul Azizan and Salah, Machouche and Mohamad Shariff, Nurasikin and Syed Elias, Sharifah Munirah and Isa, Siti Nor Ismalina (2024) Utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review. Journal of Islamic, Social, Economics and Development, 9 (63). pp. 119-134. E-ISSN 0128-1755 https://jised.com/current.asm?dataid=7231&iDisplayStart=0&aaSorting=&isSearchDetail=1 10.55573/JISED.096308 |
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RT85 Nursing Ethics Wan Mamat, Wan Hasliza Mahat, Nur Ain Zainudin, Airul Azizan Salah, Machouche Mohamad Shariff, Nurasikin Syed Elias, Sharifah Munirah Isa, Siti Nor Ismalina Utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review |
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The integration of artificial intelligence (AI) into nursing care within healthcare settings is on the rise, promising significant benefits for patients. The objective of this study is to investigate the current trends and analyse their evidence on this topic. This study utilised the Scopus database to identify and compile comprehensive information from English-language articles on AI in nursing care. Through bibliometric indicators, the study conducted a quali-quantitative analysis to examine the growth rate of publications and subject areas and identified the most active countries, institutions, journals, and authors. Visual cooperation network maps for countries, organisations, authors, citations, keywords, and other pertinent aspects were generated and analysed using VOSviewer and the Bibliometrix R-package. The search identified 223 non- duplicated articles. Fewer publications were noted between 1985 and 2015, which increased notably in subsequent years, excluding 2019. The United States emerged as the most dominant country, with the Journal of Nursing Management and the Journal of Robotic and Mechatronics being the top productive journals. This bibliometric analysis not only offers a comprehensive overview to assist researchers in understanding important articles, journals, and potential collaborators in the field of AI related to nursing care but also analyses the historical evolution, and identifies hot spots, and predicts future trends in the research topic. |
format |
Article |
author |
Wan Mamat, Wan Hasliza Mahat, Nur Ain Zainudin, Airul Azizan Salah, Machouche Mohamad Shariff, Nurasikin Syed Elias, Sharifah Munirah Isa, Siti Nor Ismalina |
author_facet |
Wan Mamat, Wan Hasliza Mahat, Nur Ain Zainudin, Airul Azizan Salah, Machouche Mohamad Shariff, Nurasikin Syed Elias, Sharifah Munirah Isa, Siti Nor Ismalina |
author_sort |
Wan Mamat, Wan Hasliza |
title |
Utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review |
title_short |
Utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review |
title_full |
Utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review |
title_fullStr |
Utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review |
title_full_unstemmed |
Utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review |
title_sort |
utilisation of artificial intelligence in nursing care - gap from an islamic perspective: a bibliometric review |
publisher |
Academic Inspired Network |
publishDate |
2024 |
url |
http://irep.iium.edu.my/112784/1/112784_Utilisation%20of%20artificial%20intelligence.pdf http://irep.iium.edu.my/112784/ https://jised.com/current.asm?dataid=7231&iDisplayStart=0&aaSorting=&isSearchDetail=1 |
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