从电子健康记录数据仓库访问和使用临床和基因组数据
Cosby G Arnold1, Brandon Sonn2, Frederick J Meyers3
1Department of Emergency Medicine, School of Medicine, University of California, Davis, 4150 V Street #2100, Sacramento, CA 95817, USA.
Translational medicine communications
|January 15, 2024
概括
电子健康记录 (EHR) 和相关的生物库为生物医学研究提供了巨大的潜力. 这篇论文详细介绍了访问和使用数据仓库进行研究,强调了它们在疾病表型化中的力量.
科学领域:
- 生物医学信息学 生物医学信息学
- 临床研究信息学 临床研究信息学
背景情况:
- 电子健康记录 (EHR) 和相关的生物库是推动生物医学研究的宝贵资源.
- 为研究重新利用电子健康记录数据带来了重大挑战.
- 数据仓库正在成为管理和分析大规模健康数据的关键工具.
研究的目的:
- 描述访问和利用数据仓库进行研究的流程和考虑因素.
- 突出数据仓库在使用EHR数据的疾病表型化中的实用性.
主要方法:
- 审查访问和使用数据仓库的流程.
- 讨论对EHR数据抽象和生物银行集成的考虑.
- 探索跨机构数据链接策略.
主要成果:
- 数据仓库,尽管不完美,是疾病表型的强大工具.
- 成功利用需要强大的过程,以抽象EHR数据和生物银行集成.
- 跨机构的联系提高了数据仓库的实用性.
结论:
- 数据仓库对于临床研究越来越重要.
- 在EHR数据抽象,生物银行集成和链接方面的复杂性将推动未来的应用.
- 有效使用数据仓库可以显著推进生物医学研究,改善患者健康.
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