利用人工智能通过识别和干预患者未满足的社会需求来告知护理协调:一个范围审查
Victoria H Davis1, Andrew D Pinto2,3,4, Minal R Patel1
1Department of Health Behavior & Health Equity, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
人工智能 (AI) 可以识别和解决患者的社会需求,以改善护理协调. 然而,它在医疗保健中的实施带来了挑战和加剧不平等的风险.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 健康的社会决定因素
背景情况:
- 护理协调对于管理患者健康至关重要.
- 未得到满足的社会需求显著影响患者的治疗结果.
- 整合技术是提高医疗保健提供能力的关键.
研究的目的:
- 审查人工智能 (AI) 在确定和解决患者在护理协调中的社会需求方面的应用.
- 了解AI在临床实践中实施社会需求干预的促进者和障碍.
主要方法:
- 进行了全面的范围审查.
- 在PubMed,CINAHL,PsycInfo和Scopus数据库中搜索到2023年11月.
- 包括专注于人工智能用于识别/解决护理协调方面的社会需求的研究,不包括审查和协议.
主要成果:
- 八篇文章符合从476个初始记录中包含的标准.
- 自然语言处理 (NLP) 和机器学习 (ML) 是主要使用的AI技术.
- 研究重点是人工智能用于识别/预测社会需求,检查资源供应或促进干预.
结论:
- 在综合护理平台和科学文献中存在人工智能之间的差距.
- 在护理协调中,人工智能可以改善患者护理和健康公平.
- 实施需要仔细考虑潜在的不公平以及对患者信任的影响.
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