护士对人工智能在临床实践中的整合障碍的看法:一种定性现象学研究
Fazila Akter1, Moustaq Karim Khan Rony2, Umme Rabeya Peu3
1Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway.
Contemporary nurse
|November 20, 2025
概括
护士在医疗保健中采用人工智能 (AI) 面临重大障碍,包括知识差距,组织问题和道德问题. 通过教育和政策解决这些挑战对于成功将人工智能整合到护理实践中至关重要.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 护理信息学 护理信息学
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 在医疗保健中提供了变革性的潜力,改善了诊断和患者护理.
- 显著的障碍阻碍了人工智能融入临床实践,特别是在护理行业.
- 了解护士的观点对于识别急性护理环境中人工智能采用的障碍至关重要.
研究的目的:
- 探索护士对将人工智能技术整合到临床实践中的障碍的看法.
- 确定护士在医疗保健环境中采用人工智能时面临的关键挑战.
主要方法:
- 定性现象学方法捕捉护士的生活经历.
- 半结构面试和聚焦小组讨论与20个护士在20个医疗机构在达卡,孟加拉国.
- 使用范曼恩反射方法的分析,由技术接受模型提供信息.
主要成果:
- 确定了三个主要主题:知识/意识差距,组织障碍和道德/人际关系问题.
- 护士报告说,缺乏人工智能教育,机构支持不足,担心隐私和护理的人性化.
- 关于人工智能的误解和被排除在决策过程之外,助长了怀疑和抵抗.
结论:
- 强调需要以人工智能为重点的护理教育和全面的培训计划.
- 强调需要解决组织和道德障碍,包括资源分配,隐私和包容性政策.
- 倡导赋权护士和促进合作,以确保有效的AI实施,同时保持以人为中心的护理.
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