The evolution of artificial intelligence on nursing education in China

The incorporation of artificial intelligence (AI) in nursing education is a major innovation that has the capacity of changing the practices in the classroom as well as improving the learning outcomes. AI technologies such as machine learning, neural networks, natural language processing, and computer vision enable AI systems to perform intelligent functions like knowledge acquisition, problem-solving, and decision-making. These technologies are most useful in healthcare as they organize and provide insights from large clinical and patient records in decision making processes in order to improve health care. Nevertheless, the following issues are some of the challenges that need to be considered for proper implementation of AI in the Nursing Education especially in China. These are issues such as technological requirements, information security, and other petty issues including the issue of ethics as well as issues of the resistance that is likely to be encountered from the practitioners in the field, students included. However, the prospects of AI, XR, and VR technologies in improving the delivery of nursing education and equipping students with adequate preparation to work in today’s advanced health systems cannot be underestimated.

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Publication Details

Journal
Multidisciplinary Reviews
Published
2024-08-16
DOI
https://doi.org/10.31893/multirev.2024291
Citations
3
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
1.16
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article

The evolution of artificial intelligence on nursing education in China

Minghao Kong, Yuan Jiang
3 citations
Multidisciplinary Reviews
Healthcare Systems and Public Health
1.16
article

The evolution of artificial intelligence on nursing education in China

Minghao Kong, Yuan Jiang
article en
3 citations

Abstract

The incorporation of artificial intelligence (AI) in nursing education is a major innovation that has the capacity of changing the practices in the classroom as well as improving the learning outcomes. AI technologies such as machine learning, neural networks, natural language processing, and computer vision enable AI systems to perform intelligent functions like knowledge acquisition, problem-solving, and decision-making. These technologies are most useful in healthcare as they organize and provide insights from large clinical and patient records in decision making processes in order to improve health care. Nevertheless, the following issues are some of the challenges that need to be considered for proper implementation of AI in the Nursing Education especially in China. These are issues such as technological requirements, information security, and other petty issues including the issue of ethics as well as issues of the resistance that is likely to be encountered from the practitioners in the field, students included. However, the prospects of AI, XR, and VR technologies in improving the delivery of nursing education and equipping students with adequate preparation to work in today’s advanced health systems cannot be underestimated.

Multidisciplinary ReviewsVol. 7(12)
Tongji University (CN), Shanghai Tenth People's Hospital (CN)
Openalex Percentile: Top 19%
Healthcare Systems and Public Health
1.16
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The evolution of artificial intelligence on nursing education in China — Minghao Kong, Yuan Jiang · Multidisciplinary Reviews (2024) | TGRS Research Map | TGRS