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利用生成式人工智能提高工作效率:学校护士通过焦点小组和调查获得的经验与培训见解

Enhancing Work Efficiency With Generative Artificial Intelligence: Experience and Training Insights From School Nurses Through Focus Groups and Surveys.

作者信息

Chang Li-Chun, Huang Chun-Hsia, Yu Hsing-Yi, Hung Li-Ling, Lin Hui-Ling, Liao Li-Ling, Lai I-Ju

机构信息

School of Nursing, Chang Gung University of Science and Technology, Taoyuan, Taiwan, R.O.C.

Department of Nursing, Linkou Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan, R.O.C.

出版信息

Int Nurs Rev. 2025 Sep;72(3):e70076. doi: 10.1111/inr.70076.

DOI:10.1111/inr.70076
PMID:40709744
Abstract

AIM

This study examined the use of generative artificial intelligence (GAI), factors related to its application, and training expectations among school nurses who enrolled as seed instructors in a GAI training program.

BACKGROUND

GAI, such as ChatGPT, is reshaping professional environments by simulating human-like interactions. Enhancing user proficiency and reducing the risk of misuse is essential for practical applications.

METHODS

This study employed an explanatory sequential mixed-methods design using a purposive sample of 45 school nurses from primary, secondary, and higher education institutions in Taiwan. An online survey assessed attitudes and behaviors related to GAI, followed by six 90-minute focus groups that explored practical use and training needs.

FINDINGS

The survey confirmed the universal adoption of ChatGPT among participants, primarily for information retrieval. Perceived usefulness emerged as a key factor affecting workplace integration. Focus group discussions, guided by quantitative insights, highlighted ChatGPT's role in enhancing work efficiency through personalized educational materials, content creation, and summarization. Concerns included accuracy, ethical risks, and privacy. Participants expected improvements in workflow automation, statistical capabilities, and prompting to optimize AI integration in nursing tasks. However, misaligned expectations regarding automation and statistical capabilities were evident. These findings underscore the need for effective prompting, reliable information retrieval, and targeted AI training to support workplace adoption and critical evaluation.

CONCLUSION

ChatGPT was mainly used as a GAI tool for health education and content creation. It was valued for its personalized support but raised concerns about accuracy. Perceived usefulness significantly influenced its use, and participants sought training to improve their prompting skills.

IMPLICATIONS FOR NURSING PRACTICE AND HEALTH POLICY

Future AI training should integrate ethical principles alongside practical applications to minimize misuse, particularly in nursing. Specialized GAI training for nurses should emphasize hands-on application exercises to enhance task-specific efficiency and meet the evolving demands of healthcare.

摘要

目的

本研究调查了生成式人工智能(GAI)的使用情况、与其应用相关的因素,以及在一个GAI培训项目中注册成为种子教员的学校护士的培训期望。

背景

诸如ChatGPT之类的GAI正在通过模拟类人交互来重塑专业环境。提高用户熟练度并降低滥用风险对于实际应用至关重要。

方法

本研究采用解释性序列混合方法设计,以台湾小学、中学和高等教育机构的45名学校护士为目的样本。一项在线调查评估了与GAI相关的态度和行为,随后进行了六个90分钟的焦点小组讨论,探讨实际使用情况和培训需求。

结果

调查证实了参与者中ChatGPT的普遍使用,主要用于信息检索。感知有用性成为影响其在工作场所整合的关键因素。在定量见解的指导下,焦点小组讨论强调了ChatGPT在通过个性化教育材料、内容创作和总结提高工作效率方面的作用。担忧包括准确性、伦理风险和隐私。参与者期望在工作流程自动化、统计能力以及提示方面有所改进,以优化护理任务中的人工智能整合。然而,在自动化和统计能力方面存在明显的期望不一致。这些发现强调了需要有效的提示、可靠的信息检索以及有针对性的人工智能培训,以支持其在工作场所的采用和批判性评估。

结论

ChatGPT主要用作健康教育和内容创作的GAI工具。它因其个性化支持而受到重视,但也引发了对准确性的担忧。感知有用性显著影响了其使用,参与者寻求培训以提高他们的提示技能。

对护理实践和卫生政策的启示

未来的人工智能培训应将伦理原则与实际应用相结合,以尽量减少滥用,特别是在护理领域。针对护士的专门GAI培训应强调实践应用练习,以提高特定任务的效率,并满足医疗保健不断变化的需求。

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