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关于为大规模、多中心、多模式临床研究选择临床试验管理系统。

On selecting a clinical trial management system for large scale, multi-centre, multi-modal clinical research study.

作者信息

Leroux Hugo, McBride Simon, Gibson Simon

机构信息

The Australian E-Health Research Centre.

出版信息

Stud Health Technol Inform. 2011;168:89-95.

Abstract

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. OpenClinica 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.

摘要

临床研究对其支持信息系统提出了诸多挑战。澳大利亚成像生物标志物与生活方式旗舰研究(AIBL)招募了1112名参与者,他们为一项关于神经退行性疾病的综合研究自愿提供了关键信息。本文讨论了为记录该研究结果而选用的临床试验管理系统的缺点。制定了一套指导方针,并对五个系统进行了批评。OpenClinica被选为最合适的选项。本文的主要贡献在于:(i)提出一套指导方针,以确定临床试验管理系统(CTMS)解决方案的适用性;(ii)对现有的商业和开源CTMS进行简要批评;(iii)提及一些数据迁移问题,并提供解决这些问题的线索。我们得出结论,开源CTMS是开展、记录和管理临床研究的更昂贵商业系统的可行替代方案。

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