欧洲健康数据和证据网络-从建立标准化的国际健康数据网络中吸取的经验
Erica A Voss1,2,3, Clair Blacketer1,2,3, Sebastiaan van Sandijk1,4
1OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, United States.
将健康数据标准化为观察医学结果伙伴关系 (OMOP) 共同数据模型 (CDM) 对于研究至关重要. 关键的成功因素包括熟练的数据转换人员和主动的数据治理.
科学领域:
- 医疗信息学 医疗信息学
- 观察性健康数据研究研究
- 数据标准化数据标准化
背景情况:
- 将健康数据标准化为共同数据模型 (CDM) 简化并促进研究.
- 观察医疗结果伙伴关系 (OMOP) CDM被广泛用于健康数据标准化.
研究的目的:
- 检查有助于成功将观察性健康数据标准化为OMOPCDM的因素.
- 为未来的数据合作伙伴 (DP) 提供指导,标准化数据并参与分布式研究网络.
主要方法:
- 来自25个欧洲健康数据证据网络 (EHDEN) 数据合作伙伴的数据分析.
- 使用了调查,数据质量仪表板结果和转化统计.
- 提取,转换和加载 (ETL) 过程的定性和定量分析以及网络研究参与.
主要成果:
- 标准化数据代表了超过1.33亿名患者.
- 平均ETL过程持续时间从4天到115天不等.
- 52%的适用DPP标准化了时间数据;48%参与了合作研究.
结论:
- EHDEN的工作流有效地支持欧洲各地的观测数据标准化.
- 关键的成功因素包括熟练的ETL人员,词汇映射专业知识和主动的数据治理.
- 持续的社区评估和支持对于使用标准化数据生成证据至关重要.
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