集中式交互现象学资源:为健康数据用户提供一个综合的在线现象学知识库
Jacqueline Honerlaw1,2, Yuk-Lam Ho1,2, Francesca Fontin1,2
1Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
概括
集中式交互现象学资源 (CIPHER) 是一个新的公共知识库,简化了从电子健康记录 (EHR) 中创建和共享临床表型. 该资源旨在通过促进表型的再利用和开发来加速健康研究.
科学领域:
- 生物医学信息学 生物医学信息学
- 医疗保健服务研究 医疗服务研究
- 数据科学数据科学数据科学
背景情况:
- 从电子健康记录 (EHR) 开发临床表型往往是资源密集的.
- 现有的表型库在目标受众和实用性方面存在局限性.
- 需要一个集中,可访问的平台来促进基于EHR的表型的重复使用和开发.
研究的目的:
- 描述集中交互现象学资源 (CIPHER) 知识库的发展和特征.
- 为基于EHR的可计算表型算法创建一个全面的,面向公众的库.
- 通过促进表型的发现和再利用,促进临床和卫生服务研究.
主要方法:
- 设计了一个平台来收集和编目来自不同医疗保健系统的基于EHR的可计算表型算法.
- 实施了用于表型定义的标准化元数据管理系统 (CIPHER标准).
- 参与了现象学专家的开发和测试过程,包括数据可视化工具和网页表格提交用于元数据验证.
主要成果:
- CIPHER知识库存储了通过复杂的搜索功能访问的表型元数据.
- 现象型算法可以通过内置元数据验证的网页表格进行贡献.
- 集成的数据可视化工具增强了用户交互,加速了表型的发展.
结论:
- CIPHER是一个公共资源,旨在促进表型知识的重复使用,开发和传播.
- 该平台支持各种前端工具和功能,以帮助表型的开发和重用.
- 鼓励卫生数据用户贡献算法,并利用CIPHER作为表型研究的中心枢纽.
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