对生成人工智能培训的看法和经验,以支持中国护士的研究:一个定性焦点小组研究
Ling Tong1, Yirou Niu1, Lixue Zhou1
1School of Nursing, Capital Medical University, Beijing, China.
International journal of nursing sciences
|June 18, 2025
概括
中国护士发现生成人工智能 (GAI) 对研究具有动态性,但有效性受到识字,道德和准确性的限制. 建议进行专业培训,以加强GAI在护理研究中的整合.
科学领域:
- 护理研究 护理研究
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 护士的研究活动提高了患者的护理和结果.
- 生成型人工智能 (GAI) 提供了增强护士研究能力的机会.
研究的目的:
- 探索中国护士对生成人工智能 (GAI) 培训进行护理研究的看法和经验.
主要方法:
- 使用焦点小组采访进行描述性的定性设计.
- 23名参加了为期3天的GAI培训的护士的便利抽样.
- 对手工编码的采访数据进行传统的内容分析.
主要成果:
- 护士对GAI的研究利用是动态的,随着感知和实践的发展.
- 关键主题:利用效率,研究提升,角色演变 (GAI到护士主导),以及GAI在临床护理中的未来愿望.
- 确定的子主题突出了影响有效性的因素以及增长和挑战的双重性.
结论:
- GAI在护理研究中的有效性受到研究素养,道德考虑和数据准确性的限制.
- 专业培训对于提高护士使用GAI进行研究的技能至关重要.
- 标准化的技术法规是必要的,以便在护理研究中适当地应用GAI.
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