在卫生治理中使用人工智能的研究议程:解释性范围审查和框架
Maryam Ramezani1,2, Amirhossein Takian3,4,5, Ahad Bakhtiari2
1Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
BioData mining
|October 31, 2023
概括
人工智能 (AI) 为复杂的卫生系统治理挑战提供了创新的方法. 整合人工智能可以增强社会决定因素,治理要素和卫生系统目标,以改善结果.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 卫生系统治理是复杂的,受到多维因素的影响.
- 当前卫生系统面临的挑战需要创新的解决方案来减轻政策后果.
- 人工智能 (AI) 为健康生态系统提供了一个新的视角.
研究的目的:
- 研究人工智能在卫生系统治理中的作用和应用.
- 为人工智能在卫生系统治理中制定研究议程和框架.
主要方法:
- 发表文献的解释性范围审查.
- 在PubMed,Scopus和Web of Science数据库中搜索了2000年至2023年的证据.
- 专注于人工智能在卫生治理中的应用的不同视角.
主要成果:
- 人工智能整合影响健康的社会决定因素,治理要素和卫生系统目标.
- 人工智能通过智能创新和认知修改促进健康系统的加强.
- 人工智能能够在健康生态系统中进行多维分析和新的见解.
结论:
- 人工智能是一个具有变革性的工具,在卫生系统治理中具有多样化的应用.
- 人工智能有可能重塑卫生生态系统治理的所有组成部分.
- 人工智能可以为实现与健康相关的目标做出重大贡献.
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