为多学科质量仪表板开发和验证电子健康记录数据的自动化再利用
Tom Ebbers1, Robert P Takes1, Jimmie Honings1
1Department of Otorhinolaryngology and Head and Neck Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
Digital health
|August 2, 2023
概括
自动化电子健康记录数据的重复使用使得头癌 (HNC) 护理的可靠实时质量测量成为可能,可能取代手动数据收集. 验证显示大多数变量和质量指标的高度一致.
科学领域:
- 医疗信息学 医疗信息学
- 瘤学 质量改善 瘤学 质量改善
- 电子健康记录电子健康记录
背景情况:
- 用于质量仪表板的手动数据收集是耗时和资源密集的.
- 电子健康记录 (EHR) 提供了自动数据提取的潜力.
- 标准化数据记录对于可靠的EHR数据重复使用至关重要.
研究的目的:
- 开发和验证用于多学科质量仪表板的自动化EHR数据重复使用.
- 评估自动提取数据的可靠性,以评估头癌 (HNC) 护理中的质量指标.
主要方法:
- 手动提取与自动提取数据集的比较分析.
- 包括来自第三级瘤中心的262名HNC患者 (2020年).
- 主要结果:关于数据元素的协议和质量指标结果的差异.
主要成果:
- 在手动和自动变量提取之间观察到很高的一致性 (高达99.0%).
- 大多数质量指标显示高度一致 (0.3%3.5%的差异).
- 一个变量 (20.0%的一致) 和一个指标 (25%的差异) 的一致性较低.
结论:
- 常规收集的结构化EHR数据可以可靠地实时测量护理质量.
- 自动数据提取可能会使质量测量的手动数据收集变得过时.
- 数据验证和结构化记录对于可靠的EHR数据重复使用和仪表板开发至关重要.
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