Embracing the future: Integrating ChatGPT into China’s nursing education system

Ni, Zhengxin; Peng, Rui; Zheng, Xiaofei; Xie, Ping

doi:10.1016/j.ijnss.2024.03.006

Cited by 3 publications

(1 citation statement)

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“…Generative AI is a class of AI models including natural language processing, machine learning, reasoning and decision-making and other multi-disciplinary technologies, which can creatively generate images, text, phonetics, etc., and has a promising application in the field of nursing education. Currently, ChatGPT is one of the most powerful generative AI models, and its use not only meets the personalized learning needs of nursing students, but also improves the efficiency of teachers and promotes collaboration and communication between teachers and students ( 15 ). ChatGPT simulates learning environments or hospital scenarios for nursing students through virtual reality, which is conducive to improving the students’ confidence and learning ability ( 16 , 17 ).…”

Section: Introductionmentioning

confidence: 99%

Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study

Wang,

Fei,

Wei

et al. 2024

Front. Public Health

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ObjectivesThe application of artificial intelligence (AI) in healthcare is an important public health issue. However, few studies have investigated the perceptions and attitudes of healthcare professionals toward its applications in nursing. This study aimed to explore the knowledge, attitudes, and concerns of healthcare professionals, AI-related professionals, and others in China toward AI in nursing.MethodsWe conducted an online cross-sectional study on nursing students, nurses, other healthcare professionals, AI-related professionals, and others in China between March and April 2024. They were invited to complete a questionnaire containing 21 questions with four sections. The survey followed the principle of voluntary participation and was conducted anonymously. The participants could withdraw from the survey at any time during the study.ResultsThis study obtained 1,243 valid questionnaires. The participants came from 25 provinces and municipalities in seven regions of China. Regarding knowledge of AI in nursing, 57% of the participants knew only a little about AI, 4.7% did not know anything about AI, 64.7% knew only a little about AI in nursing, and 13.4% did not know anything about AI in nursing. For attitudes toward AI in nursing, participants were positive about AI in nursing, with more than 50% agreeing and strongly agreeing with each question on attitudes toward AI in nursing. Differences in the numbers of participants with various categories of professionals regarding knowledge and attitudes toward AI in nursing were statistically significant (p < 0.05). Regarding concerns and ethical issues about AI in nursing, every participant expressed concerns about AI in nursing, and 95.7% of participants believed that it is necessary to strengthen medical ethics toward AI in nursing.ConclusionNursing students and healthcare professionals lacked knowledge about AI or its application in nursing, but they had a positive attitude toward AI. It is necessary to strengthen medical ethics toward AI in nursing. The study’s findings could help develop new strategies benefiting healthcare.

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Section: Introductionmentioning

confidence: 99%