人工智能应用于长期护理机构的电子健康记录数据:一个范围审查协议
Hirochika Ryuno1, Tsuyoshi Mukaihata2, Tadamasa Takemura3,4
1Department of Clinical Nursing, Shiga University of Medical Science Graduate School of Nursing, Otsu, Shiga, Japan hryuno@belle.shiga-med.ac.jp.
BMJ open
|July 16, 2025
概括
本范围审查探讨了长期护理 (LTC) 设施内的电子健康记录 (EHR) 中的人工智能 (AI) 应用. 它旨在绘制当前知识的地图,并为改善护理质量和效率的未来研究提供信息.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 长期护理技术 长期护理技术
背景情况:
- 人工智能 (AI) 在医院电子健康记录 (EHR) 中被广泛使用,但其在长期护理 (LTC) 设施中的应用尚未得到充分探索.
- LTC 设置带来了独特的挑战和有限的 IT 基础设施,需要对人工智能的潜力进行专注的检查.
- 在EHR中的AI可以提高LTC环境中的护理质量和运营效率.
研究的目的:
- 在LTC设施中对EHR数据的AI应用进行范围审查.
- 在LTC EHR系统中识别人工智能的当前用途.
- 通过人工智能为未来的LTC护理研究和改进提供信息.
主要方法:
- 遵守范围审查的方法指南,协议注册在开放科学框架.
- 在主要数据库 (MEDLINE,CINAHL,Cochrane,SCOPUS) 中对LTC EHR中的AI应用进行系统的文献搜索.
- 标题,摘要和全文由两名审稿人进行独立选,审查团队解决不一致问题.
主要成果:
- 审查将对LTC EHR中AI应用的现有知识进行映射.
- 它将确定当前在这种环境中使用AI的趋势和差距.
- 结果将为未来的研究和AI实施策略提供基础.
结论:
- 本综述强调了人工智能融入LTC EHR的初始阶段.
- 它提供了一个全面的概述,以指导未来的研发.
- 这些发现旨在促进人工智能的有效实施,以增强LTC服务.
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