临床试验的元数据驱动软件

C. Crichton, J. Davies, J. Gibbons, Steve Harris, Andrew Tsui, J. Brenton
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引用次数: 19

摘要

临床试验信息系统的CancerGrid方法是基于CONSORT报告随机对照试验最佳实践声明开发的元模型。元模型使用从存储库中绘制的元数据元素实例化,以创建特定临床试验的模型。然后使用该模型自动派生为该试验定制的试验管理系统:生成电子病例报告表格,配置随机化和资格服务,并参数化安全子系统。该方法的主要好处是为试验注册和发现提供了统一的机制,降低了信息系统的成本和快速实施,以及共享语义,从而提高了元分析的机会。我们描述了我们对这种方法的实施,并概述了两种应用:英国的乳腺癌研究和美国退伍军人健康管理局的类风湿性关节炎研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metadata-driven software for clinical trials
The CancerGrid approach to clinical trials information systems is based on a metamodel developed from the CONSORT statement of best practice in reporting randomised controlled trials. The metamodel is instantiated with metadata elements drawn from a repository, to create a model of a particular clinical trial. The model is then used to derive automatically a trial management system customized for that trial: generating electronic case report forms, configuring randomisation and eligibility services, and parameterising the security subsystem. The key benefits of the approach are a uniform mechanism for trial registration and discovery, reduced cost and rapid implementation of information systems, and shared semantics leading to improved opportunities for meta-analysis. We describe our implementation of this approach, and outline two applications: for a breast cancer study in the UK, and for a rheumatoid arthritis study run by the US Veterans' Health Administration.
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