护理中的人工智能:临床和运营影响的综合性审查
Salwa Hassanein1,2, Rabie Adel El Arab1,3, Amany Abdrbo1
1Nursing Department, Almoosa College of Health Sciences, Al Ahsa, Saudi Arabia.
Frontiers in digital health
|March 24, 2025
概括
护理中的人工智能 (AI) 通过早期检测健康变化和自动化任务来提高患者护理和运营效率. 然而,数据隐私和偏见等伦理考虑需要谨慎管理才能成功整合人工智能.
科学领域:
- 护理信息学 护理信息学
- 数字健康数字健康
- 医疗保健中的人工智能
背景情况:
- 数字技术和人工智能越来越多地融入护理实践.
- 人工智能承诺增强诊断,改进工作流程和个性化患者护理.
- 人工智能对临床结果,效率和护士福祉的影响需要进一步研究.
研究的目的:
- 审查人工智能整合到护理中的多方面的影响.
- 分析人工智能对临床进步,患者监测,运营效率,工作负载管理和道德影响的影响.
主要方法:
- 在2024年11月之前发表的18项研究的综合性审查.
- 使用了PRISMA 2020和SPIDER框架.
- 使用MMAT和ROBINS-I进行质量评估.
主要成果:
- 人工智能集成带来了显著的临床益处,包括早期检测生理变化和减少并发症,住院和再入院.
- 人工智能通过任务自动化提高运营效率,从而减少护士倦怠和提高工作满意度.
- 诸如数据隐私风险,算法偏见和过度依赖技术等道德挑战仍然存在.
结论:
- 人工智能对护理具有变革性的潜力,可以改善临床结果和运营效率.
- 强大的道德框架,人工智能素养培训和跨学科合作对于人工智能实施至关重要.
- 需要进一步的纵向研究来验证研究结果,并支持在护理中可持续采用人工智能.
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