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Evaluating clinical trial management systems:a simulation approach

机译:评估临床试验管理系统:一种模拟方法

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If the use of information technology (IT) supporting clinical trial projects offers opportunities to optimize the underlying information management process, the intricacy of the identification and evaluation of relevant IT options is generally seen as a complex task in healthcare. Hence, the purpose of this paper is to examine the problem of ex ante information system evaluation, and assess the impact of IT on the information management process underlying clinical trials. Design/methodology/approach - Combining Unified Modeling Language (UML) and system dynamics modeling, a simulation model for evaluating IT was developed. This modeling effort relies on a case study conducted in a clinical research organization, which, at that time, faced an IT investment dilemma. Findings - Some illustrative results of sensitivity analyzes conducted on error rates in clinical data transmission are presented. These simulation results allow for quantifying the impact of different IT options on human resources' efforts, time delays and costs of clinical trials projects. Notably, the results show that although the technology has no real influence on the duration of a clinical trial project, it impacts the number of projects that can be carried out simultaneously. Originality/value - The research provides insights into the development of an innovative approach appropriate to the evaluation of IT supporting clinical trials, through the use of a mixed-method based on qualitative and quantitative modeling. The results illustrate two critical issues addressed in the IS literature: the necessity to extend IT evaluation beyond the quantitative-qualitative dichotomy; and the role of evaluation in organizational learning, and in learning about business dimensions.
机译:如果使用支持临床试验项目的信息技术(IT)提供优化基础信息管理流程的机会,则通常将识别和评估相关IT选项的复杂性视为医疗保健中的一项复杂任务。因此,本文的目的是研究事前信息系统评估的问题,并评估IT对临床试验基础信息管理过程的影响。设计/方法/方法-结合统一建模语言(UML)和系统动力学建模,开发了用于评估IT的仿真模型。这种建模工作依赖于在临床研究组织中进行的案例研究,当时该组织面临IT投资的困境。发现-对临床数据传输中的错误率进行敏感性分析的一些说明性结果。这些模拟结果可以量化不同IT选项对人力资源工作,时间延迟和临床试验项目成本的影响。值得注意的是,结果表明,尽管该技术对临床试验项目的持续时间没有真正的影响,但它会影响可以同时进行的项目数量。原创性/价值-该研究通过使用基于定性和定量建模的混合方法,为开发适合IT评估临床试验支持的创新方法提供了见识。结果说明了IS文献中涉及的两个关键问题:将IT评估的范围扩展到定量定性二分法之外;以及评估在组织学习和业务维度学习中的作用。

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