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On Selecting a Clinical Trial Management System for Large Scale, Multi-Centre, Multi-Modal Clinical Research Study

机译:在大规模,多中心,多模态临床研究中选择临床试验管理系统研究

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Clinical research studies offer many challenges for their supporting information systems. AIBL assembled 1112 participants who volunteered crucial information for a comprehensive study on neurodegenerative diseases. This paper discusses the shortcomings of the clinical trial management system chosen to record the results of the study. A set of guidelines was devised and a critique of five systems ensued. OpenCHnica was selected as the most appropriate option. The main contribution of this paper is: (i) proposing a set of guidelines to determine the appropriateness of Clinical Trial Management Systems (CTMS) solution; (ii) providing a brief critique of existing commercial and open-sourced CTMS; and (iii) alluding to some data migration issues and providing cues on how to address them. We conclude that open-source CTMS are viable alternatives to the more expensive commercial systems to conduct, record and manage clinical studies.
机译:临床研究研究为其支持信息系统提供了许多挑战。 AIBL组装了1112名参与者,为神经变性疾病进行了综合研究的志愿意识。本文讨论了临床试验管理系统的缺点,以便记录研究结果。设计了一系列指南,并随后进行了五种系统的批评。 Openchnica被选为最合适的选项。本文的主要贡献是:(i)提出一套准则来确定临床试验管理系统(CTMS)解决方案的适当性; (ii)为现有的商业和开放式CTMS提供简短的批评; (iii)暗示某些数据迁移问题,并提供如何解决它们的提示。我们得出结论,开源CTM是可行的替代商业系统,以进行较贵的商业系统,以进行记录和管理临床研究。

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