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TECHNICAL CHALLENGES IN LEVERAGING DISTRIBUTED CLINICAL DATA

机译：利用分布式临床数据的技术挑战

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As the digital age progresses the amount of clinical data that is being gathered and stored in electronic format is increasing rapidly. Much of this data is stored in isolated repositories, separated by administrative boundaries, large geographical distances and different standards of maintenance. However, there is great potential in unifying these data stores together and harnessing the collective information that they possess. One area that stands to benefit greatly from such an initiative in the unification of such data is that of clinical trials and studies.rnGrid technology is a computing paradigm that attempts to find solutions to exactly this type of problem: how to federate data from wide-scale distributed sources on a time-scale useful to the typical end-user. As such, the VOTES project (Virtual Organisations for Trials and Epidemiological Studies) is a pilot-project, collaborative between seven UK institutions and funded by the UK Medical Research Council (MRC) to investigate how to implement a solution that draws distributed clinical data together in real time to enhance the primary trial processes - patient recruitment, data collection and study management.rnThis paper outlines the solution that has been implemented in the VOTES project, and the technical challenges that have arisen, focusing in particular on the security and usability of the back-end technologies used to perform the data federation.
机译：随着数字时代的发展，以电子格式收集和存储的临床数据的数量正在迅速增加。这些数据的大部分存储在隔离的存储库中，这些存储库由管理边界，较大的地理距离和不同的维护标准分隔开。但是，将这些数据存储统一在一起并利用它们拥有的集体信息具有很大的潜力。从这样的数据统一方法中受益匪浅的领域是临床试验和研究。rnGrid技术是一种计算范式，它试图找到确切解决此类问题的解决方案：如何从广泛的联邦数据在对典型最终用户有用的时间尺度上扩展分布式源。因此，VOTES项目（试验和流行病学虚拟组织）是一个试点项目，由七个英国机构合作，由英国医学研究理事会（MRC）资助，旨在研究如何实施将分布式临床数据汇总在一起的解决方案实时地增强主要的试验过程-患者招募，数据收集和研究管理。rn本文概述了VOTES项目中已实施的解决方案以及已经出现的技术挑战，尤其着重于安全性和可用性用于执行数据联合的后端技术。

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