自动化数据输入从电子健康记录到电子数据捕获使用可靠的基于云的应用程序在多站点癌症临床试验中的数据输入.
Keith Goodman1,2, Chris Cook1,2, Dani Weatherbee1,3
1SWOG Cancer Research Network Statistics and Data Management Center, Seattle, WA, USA.
Journal of the Society for Clinical Data Management
|June 13, 2025
概括
一个新的基于云的应用程序简化了从电子健康记录 (EHR) 到电子数据捕获 (EDC) 系统的数据传输,大大节省了时间,并提高了临床试验数据的准确性.
科学领域:
- 临床信息学 临床信息学
- 健康数据管理 管理健康数据
- 癌症研究 技术 技术
背景情况:
- 从电子健康记录 (EHR) 到电子数据捕获 (EDC) 系统的无数据传输是临床研究中长期存在的挑战.
- 提高数据的准确性和质量,同时降低临床研究专业人员的负担是关键目标.
研究的目的:
- 评估安全的,基于云的第三方应用程序,将EHR数据库和EDC系统连接到临床试验中.
- 评估这项技术对现场工作人员工作量,数据准确性和完整性的影响.
主要方法:
- 三个SWOG癌症研究网络站点参与了这项研究.
- 基于云计算的EHR-to-EDC应用程序被用于收集研究数据,用于有限数量的患者的瘤评估表格.
- 数据收集与手动医疗记录抽象进行了比较,测量了节省时间,错误率和评级者间可靠性.
主要成果:
- 与手动抽象相比,软件辅助的方法证明了相当大的时间节省.
- 观察到数据质量的显著改善,特别是自动捕获的数据字段.
- 使用基于云的应用程序导致了更高的数据准确性.
结论:
- 基于云的安全应用程序有效地将EHR和EDC系统连接起来,用于临床试验数据收集.
- 这项技术为临床研究专业人员提供了相当大的时间节省.
- 该方法提高了临床试验研究中的数据准确性.
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