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Expanding trial data demands new analytical methods

机译:扩展试验数据需要新的分析方法

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摘要

Effectively managing trial data is challenging and drug sponsors are increasingly compelled to leverage new analytical methods, technologies and partnerships to get the most value from massive sets of unique trial data. As a result of improving smart mobile technologies and the growing popularity of wearable devices, clinical trial managers are now capable of gathering and analysing more data than ever before. More significantly, new technology and analytical methods are helping to improve both the volume and the quality of trial data while increasing patient involvement and convenience in the process. Streamlining the complexities associated with effective trial data management is challenging, even for the most adept research-based organisations. According to The 2016 Nice Insight CRO Outsourcing Survey, 76% of respondents outsourced clinical trial services and 50% outsourced clinical trial data management (Figure 1).
机译:有效地管理试验数据具有挑战性,越来越多的药物申办者被迫利用新的分析方法,技术和合作伙伴关系,以从大量独特的试验数据中获得最大的价值。由于智能移动技术的改进和可穿戴设备的日益普及,临床试验管理人员现在能够收集和分析比以往任何时候更多的数据。更重要的是,新技术和分析方法正在帮助改善试验数据的数量和质量,同时增加患者的参与度和过程的便利性。即使对于最熟练的研究型组织,要简化与有效的试验数据管理相关的复杂性也具有挑战性。根据《 2016年Nice Insight CRO外包调查》,76%的受访者将临床试验服务外包,50%的临床试验数据管理外包(图1)。

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