识别需要息治疗的患者的自动化算法:系统性审查和元分析
Chia-Wen Hou1,2, Ming-Chi Hu3, Made Satya Nugraha Gautama4
1School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
NPJ digital medicine
|February 12, 2026
概括
自动化电子健康记录 (EHR) 算法显著增加了息护理咨询和做不做复苏的文档. 这项技术有望提高终身护理的质量和及时性.
科学领域:
- 医疗信息学 医疗信息学
- 抚慰性护理医学 抚慰性护理医学
- 临床决策支持系统 临床决策支持系统
背景情况:
- 电子健康记录 (EHR) 越来越多地用于识别需要息治疗的患者.
- 及时的息护理干预对于改善患者的治疗结果和终身护理至关重要.
- 电子病历系统中的自动化算法为积极的患者识别提供了潜在的解决方案.
研究的目的:
- 系统地评估基于EHR的算法的有效性,以识别具有高度息护理需求的患者.
- 评估这些算法对启动息护理干预和预先护理规划的影响.
- 综合来自随机试验的证据,以分析与自动化EHR算法实施相关的结果.
主要方法:
- 在PubMed,Embase和Cochrane图书馆进行了系统的文献搜索,查询到2025年12月的随机试验.
- 使用随机效应模型将风险比率 (RRs) 和加权平均差异与95%置信区间 (CI) 结合起来.
- 偏差风险使用Cochrane RoB 2.0进行评估,证据的确定性被评为GRADE.
主要成果:
- 七项涉及125,666名患者的试验被纳入了元分析.
- 自动化EHR算法显著增加了非癌症 (RR, 2.19) 和癌症患者 (RR, 5.31) 的息护理咨询.
- 不复苏命令的文档也显著增加 (RR, 1.22),而对临终关怀和死亡率的影响是微不足道的.
结论:
- 自动化EHR算法的实施与息护理咨询和预先护理规划文件的增加有关.
- 这些发现表明,基于EHR的算法可以提高终身护理的及时性和质量.
- 进一步的研究可能会探索对患者和家庭报告的结果的更广泛影响.
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