Trifiletti Daniel M, Showalter Timothy N
Department of Radiation Oncology, University of Virginia School of Medicine , Charlottesville, VA , USA.
Front Oncol. 2015 Dec 8;5:274. doi: 10.3389/fonc.2015.00274. eCollection 2015.
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.
大数据集收集与处理方面的多项进展，有潜力为癌症放射治疗的应用带来一波新的见解与改进。电子健康记录、基因组学时代以及不断改善的信息技术资源，创造了利用这些发展成果创建一个学习型医疗系统的机会，该系统能够迅速提供信息丰富的临床证据。通过将比较效果研究的概念与“大数据”的工具及分析方法相结合，人们希望这种结合将加速发现进程，改善决策证据，并增加高度相关的个性化信息的可得性。这种结合有可能提供可用于超个性化医疗和高质量前沿放射治疗的数据与分析。
