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The Future of Nursing Education: Necessary Elements and Implementation Strategies for Learning Artificial Intelligence.

Authors :
Cheng-Pei LIN
Yu-Chi CHEN
Lu-Yen Anny CHEN
Source :
Journal of Nursing; Apr2024, Vol. 71 Issue 2, p26-33, 8p
Publication Year :
2024

Abstract

As populations age, average life expectancy increases and the complexity of diseases rises, leading to nursing care and healthcare systems facing severe challenges related to inadequate resources. Artificial intelligence (AI), including elements such as investigation, integration, learning, prediction, and decision-making, holds significant potential for application in clinical care not only to enhance care quality but also to help guide the future direction of healthcare. AI applications are already being increasingly utilized to improve the quality of clinical care and to streamline workflows. However, because nursing education has lagged behind in terms of adopting AI, greater attention must be given to training up nursing students with AI-related knowledge and application skills. AI technologies should be integrated into nursing curricula and clinical internships to adapt to the rapidly changing high-tech healthcare environment, enabling the more-effective use of AI technology in providing high-quality and safe nursing care. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
0047262X
Volume :
71
Issue :
2
Database :
Complementary Index
Journal :
Journal of Nursing
Publication Type :
Academic Journal
Accession number :
176354849
Full Text :
https://doi.org/10.6224/JN.202404_71(2).05