综合审查人工智能在护理中的应用:教育,临床实践,工作负载管理和专业认知
Rabie Adel El Arab1, Omayma Abdulaziz Al Moosa1, Mette Sagbakken2
1Almoosa College of Health Sciences, Alhasa, Saudi Arabia.
Frontiers in public health
|August 18, 2025
概括
人工智能 (AI) 通过提高参与度和早期发现患者问题来增强护理教育和临床护理. 然而,道德考虑和对人文护理的需求仍然是人工智能在护理中的整合的关键挑战.
科学领域:
- 护理 护理 护理
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 人工智能 (AI) 在护理领域带来了重大机遇和挑战,影响了教育,临床实践和效率.
- 障碍包括道德问题,劳动力适应和维护人文关怀.
研究的目的:
- 系统地审查人工智能在护理实践中的整合.
- 重点领域包括护理教育,临床护理,工作负载管理和专业认知.
主要方法:
- 根据PRISMA 2020和SPIDER框架进行综合性审查.
- 25项研究的主题综合.
- 通过MMAT评估质量,通过ROBINS-I.评估偏差风险.
主要成果:
- 人工智能通过模拟改进护理教育,增强参与度和表现,但增加认知负载.
- 人工智能工具有助于早期检测患者病情恶化,并简化术后护理,提高满意度.
- 人工智能自动化了常规任务,减少了工作负载和倦怠,允许更直接的患者护理.
- 护士认为人工智能对工作流程和决策支持具有积极意义,但对数据隐私和偏见提出了伦理问题.
结论:
- 人工智能在护理中的整合在教育,临床支持和工作流程管理方面都有好处.
- 解决道德问题,劳动力适应和维护人文关怀至关重要.
- 一个战略路线图 (NAIIR) 提出了以道德和以用户为中心的AI整合,补充人类专业知识.
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