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Enhancing Work Efficiency With Generative Artificial Intelligence: Experience and Training Insights From School
Li-Chun Chang1,2,3, Chun-Hsia Huang2,3, Hsing-Yi Yu2,3,4
1School of Nursing, Chang Gung University of Science and Technology, Taoyuan, Taiwan, R.O.C.
School nurses widely use generative artificial intelligence (GAI) like ChatGPT for information retrieval and content creation. Training should focus on practical skills, ethical use, and accurate prompting to enhance efficiency in nursing tasks.
Area of Science:
- Nursing Informatics
- Artificial Intelligence in Healthcare
- Educational Technology
Background:
- Generative artificial intelligence (GAI) simulates human interaction, transforming professional settings.
- Enhancing user proficiency and mitigating misuse are critical for GAI adoption.
- School nurses are increasingly exploring GAI tools for professional development.
Purpose of the Study:
- To examine generative artificial intelligence (GAI) utilization among school nurses.
- To identify factors influencing GAI application in nursing practice.
- To understand school nurses' training expectations for GAI.
Main Methods:
- Explanatory sequential mixed-methods design.
- Purposive sample of 45 school nurses in Taiwan.
- Online survey followed by focus group discussions.
Main Results:
- Universal adoption of ChatGPT for information retrieval and content creation.
- Perceived usefulness significantly impacts workplace integration.
- Key concerns include accuracy, ethics, and privacy; training needs focus on prompting and automation.
Conclusions:
- ChatGPT is primarily used for health education and content generation, valued for personalized support but raising accuracy concerns.
- Perceived usefulness drives GAI adoption, with a demand for improved prompting skills.
- Future training must integrate ethics and practical applications, emphasizing hands-on exercises for task-specific efficiency in nursing.
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