Institut Curie, 75005 Paris, France.
Coexya, 69370 Saint-Didier-au-Mont-d'Or, France.
Int J Environ Res Public Health. 2024 Feb 7;21(2):189. doi: 10.3390/ijerph21020189.
Real-world data (RWD) related to the health status and care of cancer patients reflect the ongoing medical practice, and their analysis yields essential real-world evidence. Advanced information technologies are vital for their collection, qualification, and reuse in research projects.
UNICANCER, the French federation of comprehensive cancer centres, has innovated a unique research network: Consore. This potent federated tool enables the analysis of data from millions of cancer patients across eleven French hospitals.
Currently operational within eleven French cancer centres, Consore employs natural language processing to structure the therapeutic management data of approximately 1.3 million cancer patients. These data originate from their electronic medical records, encompassing about 65 million medical records. Thanks to the structured data, which are harmonized within a common data model, and its federated search tool, Consore can create patient cohorts based on patient or tumor characteristics, and treatment modalities. This ability to derive larger cohorts is particularly attractive when studying rare cancers.
Consore serves as a tremendous data mining instrument that propels French cancer centres into the big data era. With its federated technical architecture and unique shared data model, Consore facilitates compliance with regulations and acceleration of cancer research projects.
与癌症患者健康状况和护理相关的真实世界数据（RWD）反映了正在进行的医疗实践，对其分析产生了重要的真实世界证据。先进的信息技术对于在研究项目中收集、规范和重复使用这些数据至关重要。
法国综合癌症中心联合会 UNICANCER 创新了一个独特的研究网络：Consore。这个强大的联邦工具使来自法国 11 家医院的数百万癌症患者的数据能够进行分析。
Consore 目前在 11 家法国癌症中心运营，它使用自然语言处理来构建约 130 万癌症患者的治疗管理数据。这些数据来自他们的电子病历，涵盖约 6500 万份病历。得益于结构化数据，这些数据在一个通用数据模型中得到了协调，以及其联邦搜索工具，Consore 可以根据患者或肿瘤特征以及治疗方式创建患者队列。当研究罕见癌症时，这种能够衍生出更大队列的能力特别有吸引力。
Consore 是一个强大的数据挖掘工具，使法国癌症中心迈入大数据时代。凭借其联邦技术架构和独特的共享数据模型，Consore 有助于遵守法规并加速癌症研究项目。
