提高瘤学现实数据的标准:跨多个维度的质量方法
Emily H Castellanos1, Brett K Wittmershaus1, Sheenu Chandwani1
1Flatiron Health, Inc, New York, NY.
JCO clinical cancer informatics
|January 19, 2024
概括
了解数据质量对于基于电子健康记录 (EHR) 的真实世界数据 (RWD) 在瘤学中至关重要. 这项研究应用了数据质量维度来治疗EHR衍生的瘤RWD,确保适合于现实世界的证据生成.
科学领域:
- 瘤学研究研究
- 现实世界数据 (RWD) 科学
- 医疗信息学 医疗信息学
背景情况:
- 电子健康记录 (EHR) 是瘤学研究的真实世界数据 (RWD) 的重要来源.
- 确保EHR衍生的RWD适合使用对于可靠的研究结果至关重要.
- 电子健康数据的复杂性需要透明和系统的质量管理方法.
研究的目的:
- 描述数据质量维度在策划EHR衍生瘤RWD中的应用.
- 提高瘤RWD的质量评估的透明度.
- 确保基于EHR的RWD适合用于现实世界的证据生成.
主要方法:
- 针对主要卫生监管和政策组织的数据质量维度进行了有针对性的审查.
- 针对这些维度,Flatiron Health的EHR衍生瘤RWD应用的质量流程得到了特征.
- 具体的质量维度包括相关性 (可用性,充分性,代表性) 和可靠性 (准确性,完整性,来源,及时性).
主要成果:
- 确定的主要质量维度是相关性和可靠性,具有特定的子维度.
- 弗拉蒂伦健康RWD质量流程与这些维度保持一致.
- 通过数据集大小和可变范围优化相关性;通过验证,验证,来源跟踪和及时更新数据来解决可靠性.
结论:
- 整个数据生命周期的系统流程对于高质量,可扩展的基于EHR的RWD至关重要.
- 优化数据质量需要了解数据源,策划和用例需求.
- 坚持既定的质量维度提高了透明度和适应现实世界的证据生成.
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