探索生成人工智能在护理中的应用:一个横截面研究
Jinling Wu1, Mengmeng Yang2, Xiujuan Wei3
1School of Nursing and Health, Henan University, Kaifeng, China.
Frontiers in public health
|February 13, 2026
概括
生成型人工智能 (GAI) 被中国护士广泛采用,他们更喜欢本地平台. 关键的挑战包括确保内容准确性和保持临床自主性,以便有效地将GAI整合到护理中.
科学领域:
- 护理信息学 护理信息学
- 医疗保健中的人工智能
- 数字健康数字健康
背景情况:
- 生成型人工智能 (GAI) 为医疗保健创新提供了新的机会.
- 了解GAI在临床实践中的采用和影响,对于其有效实施至关重要.
- 作为患者护理的基石,护理将从人工智能驱动的进步中受益显著.
研究的目的:
- 系统地调查生成人工智能 (GAI) 在中国护理实践中的应用.
- 为了绘制当前的使用模式,识别护理人员关于GAI的好处,挑战和功能需求.
- 评估中国新兴的当地GAI平台的实际表现和采用情况.
主要方法:
- 采用了方便抽样方法,调查了20个省份的181名护士实习生,工作人员护士和管理人员.
- 通过文献审查和证据提取,开发了一个问卷,内容有效性由专家评估.
- 数据是在2025年4月至6月期间收集的.
主要成果:
- 护士的GAI采用率达到92.81%,与人口因素没有显著的关联.
- 资历是GAI使用频率的重要预测因素 (p=0.001).
- 当地平台 (DeepSeek,Doubao) 主导使用 (>60%),健康教育材料生成是最普遍的应用 (61.30%). GAI减少了管理人员的行政工作量,提高了临床护士的效率,并促进了实习生之间的创新.
- 主要挑战包括对内容准确性的担忧 (40.96%) 和对临床自主性的影响.
结论:
- 在中国护理中,GAI的采用是广泛的,受当地平台和角色特定福利的偏好影响.
- 对内容准确性和临床自主性的担忧是GAI整合的主要障碍.
- 经过临床验证,可信赖的GAI系统,加上有针对性的培训和道德设计,对于实现GAI作为协作护理工具的潜力至关重要.
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