护士研究人员对生成人工智能的经验和看法:质量半结构面试研究
Ruifu Kang1, Zehui Xuan1, Ling Tong1
1School of Nursing, Capital Medical University, No.10 Xi-tou-tiao, You-an-men Wai, Feng-tai District, Beijing, 100069, China.
Journal of medical Internet research
|August 25, 2025
概括
护士研究人员正在探索像ChatGPT这样的人工智能工具, 这项定性研究强调了各种经验,风险以及在护理研究中提高人工智能素养的需要.
科学领域:
- 护理研究
- 人工智能
- 质量研究
背景情况:
- 像ChatGPT这样的人工智能工具在护士研究人员中越来越受欢迎.
- 虽然人工智能的影响在其他领域受到研究,但护士研究人员的经验仍未得到充分探索.
- 这项研究通过调查护士研究人员对生成人工智能的看法来弥补这一差距.
研究的目的:
- 描述中国护士研究人员对生成性AI的经验和看法.
- 提供对人工智能在护理研究中的未来应用的见解.
- 探索科学研究中不断发展的人机关系.
主要方法:
- 使用半结构面试对27名护士研究人员进行定性研究.
- 参与者包括护理系,研究生和临床护士.
- 使用诱导性内容分析分析数据以确定关键主题.
主要成果:
- 五个主要主题出现了:人机共生,使用经验因素,研究范式的转变,人工智能应用风险 (局限性,伦理) 和技术素养共同提高.
- 研究人员注意到AI在协助和替代方面的潜力,但也对学术完整性提出了担忧.
- 需要提高人工智能素养和人工智能生成的内容检测工具.
结论:
- 护士研究人员与人工智能之间的互动是一个复杂的"共生之旅".
- 结果为人工智能在护理中的和共存和负责任整合提供了基础.
- 为护士研究人员,政策制定者和开发人员提供推,以推进护理研究中的人工智能.
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