使用基于人工智能的技术来帮助护士检测行为障碍:叙事文学评论
Sofia Fernandes1,2,3, Armin von Gunten4, Henk Verloo1,4
1School of Health Sciences, University of Applied Sciences and Arts Western Switzerland (HES-SO), Sion, Switzerland.
JMIR nursing
|May 28, 2024
概括
基于人工智能的技术 (AITs) 显示出在护理中早期检测痴呆症 (BPSD) 的行为和心理症状的前景. 然而,目前的AIT在早期BPSD检测中未得到充分利用,尽管它们有改善患者评估和监测的潜力.
科学领域:
- 老年学和护理信息学
- 医疗保健中的人工智能
- 痴呆症护理研究研究
背景情况:
- 痴呆症的行为和心理症状 (BPSD) 在痴呆症护理中普遍存在并具有影响力.
- 基于人工智能 (AIT) 的技术为护士早期发现BPSD提供了潜力.
- 有限的信息存在于AIT应用程序的早期BPSD检测在护理.
研究的目的:
- 系统地审查和描述现有的关于AIT支持护理干预措施的现有文献,以早期发现和管理BPSD.
- 确定引入AIT在痴呆症护理中的研究范围和性质.
主要方法:
- 在2023年9月,对PubMed数据库进行了全面的文献搜索.
- 分析了专注于基于人工智能技术 (AIT) 和痴呆症的出版物.
- 使用叙事方法报告文献综述的发现.
主要成果:
- 来自14个国家的25个出版物被确定,主要是前性观察性研究.
- 出现了三类AIT应用程序:预测痴呆症进展,查临床症状,以及管理痴呆症和BPSD.
- 大多数已识别的出版物集中在管理现有的痴呆症和BPSD.
结论:
- 目前的AIT主要支持现有BPSD的心理护理,而不是早期检测.
- 在早期和实时检测BPSD时,AIT的测试和利用不足.
- AIT有潜力为护士提供可靠的评估,监测和治疗干预计划系统.
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