人工智能对降低痴呆症成本的影响:一个范围审查
Fatemeh Rangraz Jeddi1, Ali Mohammad Nickfarjam1, Reihane Sharif1
1Health Information Management Research Center, Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran.
Studies in health technology and informatics
|April 9, 2025
概括
通过改进诊断,监测和资源管理,人工智能 (AI) 可以显著降低痴呆症护理成本. 进一步的研究和应对挑战是最大限度地利用AI的关键.
科学领域:
- 老年学和医疗保健经济学
- 人工智能在医学中的应用
背景情况:
- 痴呆症是导致老年人残疾的主要原因,造成大量医疗保健费用,特别是在高收入国家.
- 目前的痴呆症护理模式与不断上升的费用有关,需要创新的解决方案.
研究的目的:
- 在痴呆症护理中对人工智能 (AI) 应用进行范围审查,重点关注经济影响.
- 识别和综合有关AI如何减少痴呆症护理的财务负担的证据.
主要方法:
- 使用Arksey和O'Malley框架进行了范围审查.
- 在PubMed,Scopus和Web of Science进行了文学搜索.
- 符合纳入标准的8项研究重点关注人工智能应用,以降低诊断,监测,个性化护理和资源管理方面的成本.
主要成果:
- 人工智能展示了通过提高效率和定制干预来减少痴呆症护理医疗保健支出的潜力.
- 特定的人工智能技术,如用于诊断的机器学习和用于监控的可穿戴设备,显示出相当大的节省成本的好处.
- 人工智能有助于及时干预,优化资源配置,并实现个性化护理策略,所有这些都有助于降低成本.
结论:
- 人工智能为缓解与痴呆症护理相关的经济挑战提供了一个有希望的途径.
- 必须解决包括数据隐私,算法偏见和系统集成在内的关键挑战,以充分实现AI的潜力.
- 持续的研究对于最大限度地提高人工智能对提高痴呆症护理效率和负担能力的影响至关重要.
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