人工智能在护理中的整合:解决当前的应用,挑战和未来的方向
Qiuying Wei1, Songcheng Pan1,2, Xiaoyu Liu1
1Anesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, China.
Frontiers in medicine
|February 26, 2025
概括
人工智能 (AI) 在护理方面提供了巨大的潜力,但技术问题和道德问题等挑战需要解决. 进一步的研究对于开发针对护理和改善患者护理的AI工具至关重要.
科学领域:
- 护理信息学 护理信息学
- 医疗保健 人工智能 医疗保健 人工智能
- 数字健康数字健康
背景情况:
- 人工智能 (AI) 正在迅速改变医疗保健的提供.
- 护理实践面临着AI整合带来的机遇和挑战.
- 了解人工智能在护理中的当前作用和未来潜力至关重要.
研究的目的:
- 批判性地评估人工智能在护理实践中的整合.
- 识别当前的应用,局限性和研究缺口.
- 探索AI对个性化护理和患者结果的潜在影响.
主要方法:
- 对近期关于人工智能在护理方面的研究进行了全面的文献审查.
- 对AI在临床决策支持,患者监测和教育中的应用进行分析.
- 识别人工智能实施和研究中的障碍和缺口.
主要成果:
- 人工智能被用于临床决策支持,患者监测和护理教育.
- 障碍包括技术限制,道德困境和劳动力适应需求.
- 在护理特定的人工智能工具,影响评估和道德框架方面存在重大差距.
结论:
- 人工智能有可能重塑个性化护理并改善护理中的患者结果.
- 解决发现的差距对于在护理中有效采用人工智能至关重要.
- 未来的研究应该专注于为护理环境开发定制的人工智能工具和伦理准则.
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