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相关实验视频

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自动化电子健康记录数据提取和处理使用ExtractEHR.

Tamara P Miller1,2, Kelly D Getz3, Edward Krause4

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概括

ExtractEHR软件有助于创建用于研究的儿科癌症电子健康记录 (EHR) 数据集. 该工具通过实现多站点数据提取和队列组装来解决儿科瘤学研究中的挑战.

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科学领域:

  • 儿科瘤学 儿科瘤学
  • 临床信息学 临床信息学
  • 生物医学数据科学 生物医学数据科学

背景情况:

  • 电子健康记录 (EHR) 数据对成人研究的潜力已确定,但其对儿科瘤学研究的影响是有限的.
  • 儿科瘤学研究面临的挑战包括商业数据集中的儿科癌症病例稀少,以及在联合的EHR数据中识别表型的困难.

研究的目的:

  • 推出ExtractEHR,一个软件包,旨在克服利用儿童瘤学研究的EHR数据的局限性.
  • 为了使多个研究应用的多站点儿科癌症EHR数据集的创建.

主要方法:

  • 从多个机构的电子健康记录系统中提取定制的,自动化的数据提取ExtractEHR.
  • 伴随软件包CleanEHR和GradeEHR用于数据提取后的数据清理和分级.
  • 该软件最初是为不良事件报告而开发的,并已扩展为队列开发.

主要成果:

  • 在四个主要的儿科机构成功实施了ExtractEHR:亚特兰大儿童医疗中心,费城儿童医院,德克萨斯州儿童医院和西雅图儿童医院.
  • 该软件支持了各种研究用例,包括临床流行病学研究,多中心临床试验和癌症队列的组装.

结论:

  • ExtractEHR是一个有价值的工具,用于生成儿科癌症EHR数据集,以解决关键的研究问题.
  • 持续的开发包括与快速医疗互操作性资源 (FHIR) 的集成以及可扩展性和可持续性的增强.