Mudaranthakam Dinesh Pal, Thompson Jeffrey, Hu Jinxiang, Pei Dong, Chintala Shanthan Reddy, Park Michele, Fridley Brooke L, Gajewski Byron, Koestler Devin C, Mayo Matthew S
Department of Biostatistics, University of Kansas Medical Center, Kansas City, Kansas, USA.
University of Kansas Cancer Center, Kansas City, Kansas, USA.
JAMIA Open. 2018 Oct;1(2):166-171. doi: 10.1093/jamiaopen/ooy023. Epub 2018 Jul 10.
Data used to determine patient eligibility for cancer clinical trials often come from disparate sources that are typically maintained by different groups within an institution, use differing technologies, and are stored in different formats. Collecting data and resolving inconsistencies across sources increase the time it takes to screen eligible patients, potentially delaying study completion. To address these challenges, the Biostatistics and Informatics Shared Resource at The University of Kansas Cancer Center developed the Curated Cancer Clinical Outcomes Database (C3OD). C3OD merges data from the electronic medical record, tumor registry, bio-specimen and data registry, and allows querying through a single unified platform. By centralizing access and maintaining appropriate controls, C3OD allows researchers to more rapidly obtain detailed information about each patient in order to accelerate eligibility screening. This case report describes the design of this informatics platform as well as initial assessments of its reliability and usability.
用于确定患者是否符合癌症临床试验资格的数据通常来自不同的来源，这些来源通常由机构内的不同团队维护，使用不同的技术，并以不同的格式存储。收集数据并解决不同来源之间的不一致性会增加筛选合格患者所需的时间，可能会延迟研究完成。为应对这些挑战，堪萨斯大学癌症中心的生物统计学和信息学共享资源部门开发了精心策划的癌症临床结果数据库（C3OD）。C3OD合并了来自电子病历、肿瘤登记处、生物样本和数据登记处的数据，并允许通过单一统一平台进行查询。通过集中访问并保持适当的控制，C3OD使研究人员能够更快地获取每位患者的详细信息，以加速资格筛选。本病例报告描述了这个信息学平台的设计以及对其可靠性和可用性的初步评估。
