针对NIH临床试验网络的自动化多实例REDCap数据同步
Meredith C B Adams1,2,3,4, Cody Hudson5, Wanchi Chen6
1Department of Anesthesiology, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States.
JAMIA open
|May 26, 2025
概括
我们开发了自动化工具,将研究电子数据捕获 (REDCap) 实例连接起来,以便将非识别数据传输到云共享. 这有助于改善临床试验数据的协调和发现.
科学领域:
- 临床信息学 临床信息学
- 数据科学数据科学数据科学
- 生物医学研究生物医学研究
背景情况:
- 临床试验网络产生复杂的分布式数据.
- 整合来自多个站点的数据是具有挑战性的.
- 标准化数据传输对于研究发现至关重要.
研究的目的:
- 开发一个自动化流程,在临床试验网络中连接研究电子数据捕获 (REDCap) 实例.
- 为了使研究调查的非识别转移到云计算数据公众,以加强数据发现.
主要方法:
- 开发了一个超文本预处理器 (PHP) 脚本,用于自动数据提取调度.
- 利用REDCap应用程序编程接口 (API) 在多个REDCap实例之间进行同步.
- 实现了一个协议检查器,用于对数据库协议遵守的自动报告.
主要成果:
- REDCap API连接可在分布式临床试验网络中实现自动同步.
- 在研究地点和协调中心之间实现安全和有效的数据传输.
- 关于协议遵守的自动报告简化了数据质量管理.
结论:
- 已建立的REDCap API连接和REDCap协议检查工具解决了临床试验网络数据协调需求.
- 这种自动化方法支持将未识别的数据转移到数据公众中进行研究.
- 通过允许受控的数据共享,促进机构审查委员会 (IRB) 的批准.
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