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Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference

机译:使大数据对医疗保健有用:MIT首届关键数据会议摘要

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With growing concerns that big data will only augment the problem of unreliable research, the Laboratory of Computational Physiology at the Massachusetts Institute of Technology organized the Critical Data Conference in January 2014. Thought leaders from academia, government, and industry across disciplines—including clinical medicine, computer science, public health, informatics, biomedical research, health technology, statistics, and epidemiology—gathered and discussed the pitfalls and challenges of big data in health care. The key message from the conference is that the value of large amounts of data hinges on the ability of researchers to share data, methodologies, and findings in an open setting. If empirical value is to be from the analysis of retrospective data, groups must continuously work together on similar problems to create more effective peer review. This will lead to improvement in methodology and quality, with each iteration of analysis resulting in more reliability.
机译:随着人们越来越担心大数据只会加剧不可靠研究的问题,麻省理工学院计算生理学实验室于2014年1月组织了关键数据会议。来自学术界,政府和行业的跨学科思想领袖,包括临床医学,计算机科学,公共卫生,信息学,生物医学研究,卫生技术,统计学和流行病学,并收集并讨论了卫生保健中大数据的陷阱和挑战。会议的关键信息是,大量数据的价值取决于研究人员在开放的环境中共享数据,方法和发现的能力。如果要从回顾性数据的分析中获得经验价值,则小组必须在类似问题上不断合作,以建立更有效的同行评审。这将导致方法论和质量的提高,并且每次分析迭代都会提高可靠性。

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