机构不可知,EHR集成的区域临床试验匹配的可行性
Sharon P Shriver1, Waddah Arafat2, Caroline Potteiger3
1American Cancer Society Cancer Action Network, Washington, District of Columbia, USA.
Cancer
|October 18, 2023
概括
使用电子健康记录进行区域性临床试验查显著增加了患者获得癌症试验的机会. 一个自动化系统可以在20英里半径内的试验匹配率提高91%,改善癌症患者的参与率.
科学领域:
- 在瘤学瘤学.
- 临床信息学 临床信息学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 有限的现场临床试验阻碍了癌症患者的参与.
- 自动区域查需要识别有效的患者电子健康记录 (EHR) 数据,以符合试验资格.
- 需要证据来支持区域与特定地点的试验搜索.
研究的目的:
- 评估一个查框架,支持一个自动化的区域临床试验搜索工具.
- 分析患者的临床变量,用于预先选临床试验.
- 为了比较美国各地的区域性与特定地点的查.
主要方法:
- 确定了八个核心EHR变量,以进行有效的预先选.
- 应用了查框架,在84名患者队列中在当地和区域寻找试验.
- 进行了美国区域分析,以根据人口密度确定最佳搜索半径.
主要成果:
- 八个核心EHR变量产生了可能的预测匹配.
- 取得了45.7%的临时试验匹配率.
- 将搜索半径扩大到20英里,该队伍的匹配率增加了91%.
- 最佳的搜索半径不同:人口稀少地区为100英里,城市地区为20英里.
结论:
- 使用有限的患者数据的临床试验查框架有效地识别了预查匹配.
- 与本地搜索相比,区域搜索显著提高了试验匹配率.
- 框架的适用性根据瘤实践密度在地理上有所不同.
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