可扩展的基础设施支持可重复的全国医疗保健数据分析,以实现公平的管理
Ji-Woo Kim1, Chungsoo Kim2, Kyoung-Hoon Kim3
1Big Data Department, Health Insurance Review and Assessment Service, Wonju, Republic of Korea.
Scientific data
|October 4, 2023
概括
这项研究将国家医疗保险索赔数据标准化为观察医疗结果伙伴关系 (OMOP) 共同数据模型. 这创建了一个符合FAIR的数据基础设施,促进公平获得高质量的医学证据.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 公共卫生 公共卫生
背景情况:
- 对医疗保健数据,元信息和基础设施的透明披露至关重要,但往往缺乏.
- 标准化数据模型和建立国家数据基础设施是强大的医学研究的关键.
研究的目的:
- 透明地披露国家索赔数据的共同数据模型标准化过程.
- 开发一个使用观察医学结果伙伴关系 (OMOP) 共同数据模型的国家数据基础设施.
- 在医疗保健研究中促进数据的开放性和FAIR (可查找,可访问,可互操作,可重复使用) 原则.
主要方法:
- 通过使用来自韩国医疗保险审查和评估服务的国家索赔数据建立了OMOP共同数据模型数据库.
- 转换了超过1000亿的索赔和超过5600万患者的数据到OMOP常用数据模型中.
- 开发了一个分布式数据分析环境,并根据FAIR原则发布了元数据.
主要成果:
- 成功将大量的国家索赔数据 (10,098,730,241索赔,56,579,726名患者) 转换为OMOP常用数据模型.
- 构建了一个功能分析环境,使分布式研究成为可能.
- 公开提供元数据,提高数据的可发现性和可访问性.
结论:
- 开发的OMOP共同数据模型基础设施和符合FAIR的元数据促进了数据的透明披露.
- 该倡议旨在减少研究人员之间的信息不平等.
- 该项目通过改善数据可访问性和标准化,有助于产生高质量的医学证据.
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