人工智能增强护理中的伦理界限和数据共享实践:阿拉伯观点
Walaa Badawy1, Mohamed M I Helal2, Amal Hashim3
1Assistant Professor of Clinical Psychology, College of Education, King Khaled University, Abha, Saudi Arabia.
International nursing review
|March 12, 2025
概括
阿拉伯护士发现人工智能 (AI) 提高了效率,但在患者数据和偏好方面引发了伦理问题. 持续教育和明确的指导方针对于将人工智能纳入护理至关重要.
科学领域:
- 护理 护理 护理
- 医疗保健技术 技术 医疗保健 技术
- 医学伦理 医学伦理
背景情况:
- 人工智能 (AI) 在护理中的临床决策和运营效率方面取得了进展.
- 人工智能集成带来了诸多挑战,包括道德困境,数据隐私问题和技术问题.
- 应对这些挑战需要持续的教育,强有力的道德准则和透明的数据共享实践.
研究的目的:
- 探索人工智能增强护理中的伦理界限和数据共享实践.
- 了解阿拉伯护士对AI整合在他们的实践中的看法.
主要方法:
- 质量方法遵循质量研究报告标准 (SRQR) 的指导方针.
- 针对沙特阿拉伯阿巴市的14名注册护士进行了有目的的抽样.
- 通过半结构面试,观察数据和文档分析收集数据,然后进行主题分析.
主要成果:
- 护士报告说,人工智能通过任务自动化提高了临床决策和效率.
- 确定的伦理挑战包括人工智能建议与患者偏好,培训需求和资源限制之间的冲突.
- 强调在护理护理中保持人与人之间的互动和同情的重要性.
结论:
- 这些发现与现有的关于人工智能对护理的好处和挑战的文献一致.
- 伦理困境,特别是关于数据隐私和知情同意的问题,需要谨慎管理.
- 持续的教育,充足的资源和明确的伦理框架对于成功地将人工智能整合到护理中至关重要.
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