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制定标准:协调OMOP共同数据模型中癌症数据集的最小编码原则
A Ajmal1, O Bouissou2, J Brash1
1IQVIA Ltd, London, UK.
ESMO real world data and digital oncology
|February 6, 2026
概括
癌症最小基本描述 (MEDOC) 框架标准化了瘤学数据用于网络分析. 这种OMOP CDM兼容的工具通过解决欧洲数字瘤网络 (DigiONE) 中的数据异质性来提高研究的稳定性.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 数据标准化数据标准化
背景情况:
- 跨网络的临床数据分析因数据异质性而面临挑战.
- 观察医学结果伙伴关系 (OMOP) 共同数据模型 (CDM) 为临床数据提供了一个标准化的框架.
- 标准化提高了多中心研究中的分析能力和研究稳定性.
研究的目的:
- 开发一个框架,在OMOPCDM中获取特定的瘤信息.
- 为欧洲数字瘤网络 (DigiONE) 促进网络层面的比较和数据组合.
- 解决欧洲瘤学研究中数据异质性的挑战.
主要方法:
- 癌症最小基本描述 (MEDOC) 框架是通过代,社区驱动的过程开发的.
- 进行了深入的潜水会议,以使源数据与MEDOC结构保持一致.
- 在DigiONE网络的试点研究中使用了MEDOC.
主要成果:
- 最初的MEDOC版本已经应用于两个DigiONE观察性癌症研究,另外两个正在进行中.
- 已经开发了培训资源和MEDOC的实施指南.
- 在调整诊断日期,转移位置和瘤分类的数据颗粒度方面发现了挑战.
结论:
- 在研究应用中,MEDOC框架已经证明了它的实用性,并将不断发展.
- 与OMOP CDM的调整是及时的,支持欧洲关于健康数据协调的倡议.
- 进一步的发展将纳入来自参与中心的学习和瘤学的进步.
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