过渡期护理中的人工智能:实践,承诺和陷-一个范围审查
1Department of Innovation Management and Strategy, Faculty of Economics and Business, University of Groningen, Groningen, Netherlands.
Frontiers in digital health
|February 11, 2026
概括
人工智能 (AI) 工具通过改进出院计划和后续护理来简化护理过渡. 这些技术提高了护理协调,减少了再入院,并优化了过渡期护理 (TC) 计划中的患者结果.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者护理管理的管理.
背景情况:
- 护理过渡是关键的,但往往是分散的,导致不利的结果.
- 过渡期护理 (TC) 计划旨在缓解这些问题.
- 人工智能 (AI) 为优化TC提供了潜在的解决方案.
研究的目的:
- 识别在TC中使用的AI工具.
- 分析它们在预防或改善护理过渡中的应用.
- 评估与TC中的AI相关的结果.
主要方法:
- 使用Arksey和O'Malley框架进行了范围审查.
- 搜索的数据库包括科学网,PubMed/MEDLINE和IEEE Xplore (2013-2025年) 等.
- 提取的数据映射了AI的使用和TC组件,以及报告的结果.
主要成果:
- 确定了21种人工智能工具,主要用于医院到家庭的过渡.
- 人工智能改善了排放规划,后续护理,互操作性和系统导航.
- 增强的关键TC组件是护理连续性,复杂性管理和患者福祉;患者参与度最少.
结论:
- 人工智能工具在过渡期间增强了护理协调和高价值护理的提供.
- 人工智能在简化患者护理轨迹和促进参与方面表现有前途.
- 整合存在挑战,但人工智能具有改善TC的巨大潜力.
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