简化临床研究中的患者招募,知情同意和数据管理流程的技术辅助:观察性研究
Jodie Koh1, Stacey Caron2, Amber N Watters2,3
1Kellogg School of Management, Northwestern University, Evanston, IL, United States.
JMIR formative research
|January 29, 2025
概括
技术进步通过自动化患者招募和数据管理来简化临床研究. 这种方法提高了参与者的影响力和研究完成率,同时减少了手工劳动和运营中断.
科学领域:
- 临床研究信息学 临床研究信息学
- 生物医学数据科学是生物医学数据科学.
- 医疗服务研究 医疗服务研究
背景情况:
- 临床研究往往受到艰苦的患者招募和数据管理流程的阻碍.
- 技术创新提供了优化这些关键研究组件的解决方案.
- 提高效率可以导致更高的临床研究完成率.
研究的目的:
- 展示技术如何增强临床研究过程.
- 展示研究工作流程中自动化和数字化整合的使用.
- 突出临床研究中技术辅助的好处.
主要方法:
- 利用企业数据仓库 (EDW) 来自动识别符合条件的参与者.
- 雇员研究 电子数据采集 (REDCap) 用于数字同意和数据管理.
- 实施了一个安全的,符合健康保险可移植性和问责法案的服务器来处理数据.
- 使用QR码进行无数据收集,集成和与电子医疗记录的链接.
主要成果:
- 自动查询在19个月内确定了20988名符合条件的患者.
- 1000名患者 (9.45%) 在收到个性化邀请后同意参与.
- 549名独特的患者完成了779次研究访问,其中一些参与了多个时间段.
结论:
- 技术辅助在临床研究中显著减少了人工劳动.
- 自动化和数字化整合扩大了参与者的覆盖范围,并优化了招聘.
- 简化流程将诊所运营中断最小化,并提高研究效率.
关键词:
自动化自动化自动化自动化临床研究方法临床研究方法.临床研究过程中的临床研究过程.同意同意同意同意同意同意同意同意数据管理数据管理数据仓库数据仓库数据仓库数字健康数字健康数字平台的数字平台.图像数据 图像数据 图像数据患者数据 患者数据患者招募 患者招募怀孕 怀孕 怀孕 怀孕 怀孕技术辅助器 技术辅助器更多相关视频
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