护理研究生对生成人工智能的认知状态:基于UTAUT框架的定性研究
Hongzhan Jiang1, Ziyan Wang1, Meiqi Meng1
1School of Nursing, Beijing University of Chinese Medicine, Liangxiang High Education Park, Fangshan District, Beijing, 102488, People's Republic of China.
BMC nursing
|January 8, 2026
概括
中国护理研究生通常对生成人工智能 (GenAI) 和它的使用有积极的看法. 然而,存在障碍和担忧,凸显了在中国需要量身定制的GenAI教育.
科学领域:
- 护理教育 护理教育
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 生成型人工智能 (GenAI) 具有提高研究效率和减少护理专业人员临床工作负担的潜力.
- 了解护理研究生对GenAI的看法对于其有效融入医疗保健和护理行业至关重要.
研究的目的:
- 探索中国护理研究生对生成人工智能工具的看法,态度和需求.
- 识别与在护理研究生教育和实践中采用GenAI相关的障碍和问题.
主要方法:
- 用半结构面试对16名护理研究生进行定性研究.
- 有目的的抽样针对具有先前人工智能经验的士生.
- 使用专题分析来确定数据中的关键主题和模式.
主要成果:
- 五个主题出现了:绩效预期,努力预期,社会影响,使用态度/行为和采用障碍.
- 护理研究生对GenAI表现出普遍积极的看法和使用行为.
- 确定了与GenAI在护理中的应用相关的障碍和问题.
结论:
- 基因人工智能在医疗保健和护理研究和实践中越来越重要.
- 护理研究生对GenAI表现出积极的态度,但需要适当的应用指导.
- 该研究建议为GenAI制定特定背景的教育策略,解决中国目前的教育差距.
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