将爱沙尼亚的健康数据转换为观察医疗结果伙伴关系 (OMOP) 共同数据模型:经验教训
Marek Oja1, Sirli Tamm1, Kerli Mooses1
1Institute of Computer Science, University of Tartu, 51009 Tartu, Estonia.
JAMIA open
|December 7, 2023
概括
本研究详细介绍了一种可重复使用的过程,用于将电子健康记录 (EHR),索赔和处方转化为观察医疗结果伙伴关系 (OMOP) 共同数据模型 (CDM). 这些方法确保了有效的数据转换,以增强现实世界的证据生成.
科学领域:
- 医疗信息学 医疗信息学
- 数据标准化数据标准化
- 现实世界的证据生成
背景情况:
- 电子健康记录 (EHR),索赔和处方数据对于研究至关重要,但存在于不同的格式.
- 标准化这些多样化的数据源对于大规模的健康研究和生成可靠的现实世界的证据至关重要.
- 观察医疗结果伙伴关系 (OMOP) 共同数据模型 (CDM) 为观察健康数据提供了一个标准化的框架.
研究的目的:
- 描述一个可重复使用的转换过程,用于将电子健康记录,索赔和处方数据转换为OMOP CDM.
- 记录数据转换过程中遇到的挑战,并介绍实施的解决方案.
- 为了促进未来研究的有效数据协调.
主要方法:
- 利用爱沙尼亚国家健康数据库,其中包含全面的居民数据.
- 从2012-2019年使用10%的随机样本 (150,824名患者) 开发和演示了转化过程.
- 从三个数据库转换到OMOP CDM版本5.3的数据,并使用开源工具进行验证.
主要成果:
- 将超过1亿条条目转化为标准的OMOP概念,平均映射率为95%.
- 在条件,观测,药物和测量方面实现了超过90%的映射率.
- 主要使用SNOMED临床术语作为标准化的目标词汇.
结论:
- 成功创建了一个可重复使用的转换过程,用于将国家健康数据转换为OMOP CDM.
- 开发的过程使得来自多个来源的数据能够高效地协调.
- 这项工作支持研究人员通过标准化数据生成更高质量的真实世界证据.
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