Huser Vojtech, Cimino James J
Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, Maryland.
Informatics Institute, University of Alabama at Birmingham, Birmingham, Alabama.
Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):890-894. doi: 10.1016/j.ijrobp.2015.10.060. Epub 2015 Nov 5.
Big Data in healthcare promise to answer real world questions that can be difficult to address with randomized clinical trials. In this perspective article, we analyze five current Big Data informatics challenges of (1) data volume, (2) research oversight by Institutional Review Boards, (3) semantic data integration (4) data formats, and (5) access to knowledge bases from a biomedical informatics perspective. After briefly describing each challenge, we discuss examples of how are being addressed today. With the ever increasing number of Big Data healthcare repositories, the emphasis is shifting from mere data aggregation to advanced data transformation and analysis.
医疗保健领域的大数据有望回答一些现实世界中的问题,而这些问题用随机临床试验很难解决。在这篇观点文章中,我们从生物医学信息学的角度分析了当前大数据信息学面临的五个挑战,即(1)数据量、(2)机构审查委员会的研究监督、(3)语义数据集成、(4)数据格式以及(5)知识库访问。在简要描述每个挑战之后,我们讨论了当今应对这些挑战的示例。随着医疗保健大数据存储库数量的不断增加,重点正从单纯的数据聚合转向高级数据转换和分析。