敏感数据转换为观察医疗结果伙伴关系共同数据模型:胡卜开发和使用协议
Samuel Cox1, Erum Masood2, Vasiliki Panagi1
1Digital Research Service, University of Nottingham, Nottingham, United Kingdom.
JMIR research protocols
|April 2, 2025
概括
胡卜软件将健康数据转换为观察医学结果伙伴关系 (OMOP) 共同数据模型 (CDM) 的标准化,使得保护隐私的规则创建和用于国际研究的重用成为可能. 这提高了数据标准化和研究效率.
科学领域:
- 医疗信息学 医疗信息学
- 数据标准和互操作性标准
- 保护隐私的数据分析数据分析
背景情况:
- 数据标准的低采用阻碍了国际卫生研究,需要将数据转换为OMOP CDM等常用数据模型.
- 观察医疗保健数据科学和信息学 (OHDSI) 合作伙伴关系支持OMOP CDM采用开源工具.
- 将数据转换为OMOP CDM需要专门的技能,这对许多组织来说是一个能力挑战.
研究的目的:
- 开发Carrot软件,这是一个标准化的,设计时就有隐私的工具,用于医疗数据策划和转换到OMOP CDM.
- 为了使规则的创建和重复使用跨项目,增强过程标准化和研究速度,而不会影响数据质量.
- 为了促进规则的制定,而不需要外部访问敏感的患者数据,与数据保护法规保持一致.
主要方法:
- 敏捷软件开发方法,涉及软件和数据工程师.
- 与OMOP专家合作,以确保方法的正确性.
- 增量发布程序以确保持续进步和用户反集成.
主要成果:
- 胡卜软件在CO-CONNECT项目中成功部署,用于联合数据发现.
- 产生了超过45,000个数据转换规则,处理了超过500万个患者记录.
- 证明成功的规则重复使用,大多数规则被重复使用而不是手动策划,同时保持数据隐私.
结论:
- 胡卜软件有效地补充了现有的OHDSI工具,特别是在数据映射阶段.
- CO-CONNECT 项目验证了在各种数据集中成功重复使用规则.
- 胡卜方法是有效的解决方案,用于高效,标准化和保护隐私的健康数据转换,并进行持续的优化工作.
关键词:
胡卜工具是胡卜的工具.在 ETLTL 中,您可以使用 ETL.在OMOP中,OMOP是OMOP.观察性医学结果 合作伙伴关系一个共同的数据模型.数据发现数据发现.数据模型数据模型数据模型.数据隐私 隐私数据 隐私数据数据保护数据的保护.数据标准的数据标准.数据标准化,数据标准化提取,转换和加载.医疗保健 医疗保健 医疗保健这是一个开源的开源软件.透明度 透明度 透明度更多相关视频
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