利用人工智能用于医院的感染控制和预防:对当前应用,挑战和未来方向的全面审查
1From the Department of Scientific Research Center, Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
Saudi medical journal
|April 20, 2025
概括
人工智能 (AI) 可以通过预测感染和优化治疗来增强医院感染控制. 解决数据质量和成本等挑战是其广泛采用的关键,以提高患者安全.
科学领域:
- 医疗信息学 医疗信息学
- 传染病控制和控制传染病
- 医疗保健中的人工智能
背景情况:
- 医院感染 (HAI) 构成了全球医疗保健面临的重大挑战,抗生素耐药细菌加剧了这一问题.
- 当前的感染控制方法往往遭受人类不一致的遵守.
- 人工智能 (AI) 为改善感染预防策略提供了潜在的解决方案.
研究的目的:
- 综合审查人工智能在加强医院感染控制和预防方面的作用.
- 综合当前的AI应用来对抗HAI和抗生素耐药性.
主要方法:
- 在PubMed,Scopus和Web of Science进行了系统的文献搜索,截至2024年10月.
- 专注于将人工智能方法应用于医院感染控制和预防的研究.
- 综合人工智能应用的发现,包括预测分析,监视和决策支持.
主要成果:
- 人工智能在预测HAI,优化抗微生物药物的使用和改善预防协议的遵守方面表现出有效性.
- 关键的人工智能应用包括预测分析,自动监控,个性化医疗,决策支持和患者参与.
- 仍然存在重大挑战,包括数据质量,互操作性,道德考虑,监管问题和投资需求.
结论:
- 人工智能具有巨大的潜力,可以通过改善感染控制来显著提高患者安全和医疗保健质量.
- 克服已确定的挑战对于AI在医院感染预防中的成功和广泛采用至关重要.
- 需要进一步的研究和投资,才能充分利用AI在抗击HAI方面的能力.
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