文章摘要
沈洪兵.大数据时代的临床医学研究——机遇和挑战[J].南京医科大学学报,2020,(3):303~305
大数据时代的临床医学研究——机遇和挑战
Clinical medical research in the age of big data—opportunities and challenges
投稿时间:2020-02-20  
DOI:10.7655/NYDXBNS20200301
中文关键词: 生物医学大数据  临床医学研究  资源积累  数据共享
英文关键词: biomedical big data  clinical medical research  resource accumulation  data sharing
基金项目:国家自然科学基金创新研究群体(81521004)
作者单位
沈洪兵 南京医科大学公共卫生学院流行病学系江苏 南京 211166 
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中文摘要:
      临床医学研究是医学发展的核心驱动力。在大数据背景下,国家高度重视、重点支持,通过顶层设计为我国临床医学研究提供制度保障和资源支撑。多组学与信息技术的飞速发展,为我国临床医学研究提供了宝贵的资源,助力临床医学研究内容的持续创新,催化临床诊疗模式的不断变革,我国临床医学研究正面临新的机遇。然而,目前我国生物医学大数据还存在存储碎片化、数据交汇机制缺乏等问题,亟需建立政府主导的数据共享机制,寻求通力合作的研究模式。在新的时代背景下,依托大数据的真实世界研究将逐渐成为临床干预的重要证据来源,我们要加强临床数据资源和生物样本资源的积累,创新研究方法,打破传统思维模式,迎接新的机遇与挑战。
英文摘要:
      Clinical medical research is the core driving force of medical development. In the context of big data,the China government provided institutional guarantee and resource support for the clinical medical research through top?level design. The rapid development of multi?omics and information technology has provided valuable resource accumulation,helped the continuous innovation,and catalyzed the continuous change for China’s clinical medical research. China’s clinical medical research is facing new opportunities. However,China’s biomedical big data still has challenges such as fragmentation of storage and lack of data exchange mechanisms. It is urgent to establish a government?led data sharing mechanism and seek a cooperative research model. In the new era,real?world research relying on big data will gradually become an important source of evidence for clinical intervention. We must strengthen the accumulation of clinical data as well as biological sample,innovate research methods,break the traditional thinking mode,and meet new opportunities and challenge.
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