使用PCORnet实现癌症登记数据 共同数据模型:大平原协作经验
Bradley D McDowell1, Michael A O'Rorke2, Mary C Schroeder3
1Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA.
JCO clinical cancer informatics
|December 17, 2024
概括
将癌症注册表数据与电子健康记录 (EHR) 集成,为癌症研究创造了一个强大的资源. 这种方法通过提供跨多个机构的结构化数据来增强现实世界的研究.
科学领域:
- 医疗信息学 医疗信息学
- 瘤学研究研究
- 数据整合数据集成
背景情况:
- 电子健康记录 (EHR) 为癌症研究提供了有价值的现实数据.
- 电子健康记录通常缺乏结构化数据,如诊断日期和疾病阶段.
- 医院癌症注册表包含癌症研究必不可少的结构化数据.
研究的目的:
- 描述癌症注册数据与EHR和计费数据的整合.
- 为一个多站点临床研究网络创建一个可互操作的数据模型.
- 通过结合各种数据源来增强现实世界的癌症研究.
主要方法:
- 癌症注册表数据被实施到一个与PCORnet通用数据模型 (CDM) 兼容的瘤表中.
- 使用分布式查询来评估和纠正数据质量问题.
- 他们生成了癌症类型,人口统计和相关的BMI的描述频率.
主要成果:
- 十一个网站成功实施了瘤表,创建了一个拥有572,902个瘤数据的资源.
- 在数据集成过程中克服了机构和技术方面的挑战.
- 在不同地点观察到种族和种族分布的显著差异.
结论:
- 将癌症注册数据集成到PCORnet CDM中,为癌症研究创造了一个强大的多站点资源.
- 这种方法提供了更广泛的结构化癌症相关数据.
- 增强的CDM瘤表提高了网络在现实世界癌症研究中的有效性.
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