爱荷华州健康数据资源 (IHDR):一个创新的框架,用于改变临床健康数据生态系统
Heath A Davis1,2, Donna A Santillan1,3, Chris E Ortman1,2
1Biomedical Informatics, Institute for Clinical & Translational Science, University of Iowa, Iowa City, IA 52242, United States.
Journal of the American Medical Informatics Association : JAMIA
|December 16, 2023
概括
爱荷华州健康数据资源 (IHDR) 通过提供安全访问现实世界健康数据和计算工具来增强翻译研究. 这种综合方法通过提高数据素养和协作加速科学发现.
科学领域:
- 翻译科学 翻译科学
- 医疗信息学 医疗信息学
- 数据管理数据管理
背景情况:
- 临床和翻译科学奖 (CTSA) 正在适应对翻译科学的关注.
- 现有的努力,如EDW4R,已经为研究人员建立了访问临床数据的基础设施.
- 数据获取,识字和安全计算环境的差距阻碍了翻译研究.
研究的目的:
- 通过爱荷华州健康数据资源 (IHDR) 改善对现实世界健康数据的访问.
- 加快翻译性健康研究的速度,促进跨学科的合作.
- 解决数据访问,识字,计算环境和数据集创建方面的挑战.
主要方法:
- 实施了三重方针:大学间团队集成,安全的数据封锁和新型数据集.
- 通过体验式学习课程,在五所卫生科学学院培训了36名数据联络人员 (教师和工作人员).
- 建立了一个数据封锁区,降低基础设施成本并利用现有的大学计算专业知识.
主要成果:
- 培训了来自五所健康科学学院的36名数据联络人员.
- IHDR数据封闭区降低了成本,并利用了现有的大学研究计算专业知识.
- 开发了七个特定领域的变革性数据集.
结论:
- IHDR将人,过程和技术整合到一个全面的生态系统中,以实现安全,协作式的研究.
- 这种新的生态系统使科学家能够使用电子患者数据和分析工具加速发现.
- IHDR促进跨学科研究,提高数据素养,最终加速将研究转化为实践.
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