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Big Data and Comparative Effectiveness Research in Radiation Oncology: Synergy and Accelerated Discovery

机译:放射肿瘤学中的大数据和比较有效性研究:协同作用和加速发现

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摘要

Several advances in large data set collection and processing have the potential to provide a wave of new insights and improvements in the use of radiation therapy for cancer treatment. The era of electronic health records, genomics, and improving information technology resources creates the opportunity to leverage these developments to create a learning healthcare system that can rapidly deliver informative clinical evidence. By merging concepts from comparative effectiveness research with the tools and analytic approaches of “big data,” it is hoped that this union will accelerate discovery, improve evidence for decision making, and increase the availability of highly relevant, personalized information. This combination offers the potential to provide data and analysis that can be leveraged for ultra-personalized medicine and high-quality, cutting-edge radiation therapy.
机译:大数据集收集和处理方面的一些进步有可能提供一系列新见解,并提高放射治疗在癌症治疗中的应用。电子健康记录,基因组学和改进的信息技术资源的时代创造了机会,可以利用这些发展来创建学习型医疗系统,该系统可以快速提供信息丰富的临床证据。希望通过将比较有效性研究的概念与“大数据”的工具和分析方法相结合,希望该联盟将加快发现速度,改善决策依据,并增加高度相关的个性化信息的可用性。这种结合提供了潜力,可提供可用于超个性化医学和高质量,前沿放射疗法的数据和分析。

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