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首页> 外文期刊>Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology >Creating accountability in image quality analysis. Part 4: Quality analytics
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Creating accountability in image quality analysis. Part 4: Quality analytics

机译:在图像质量分析中建立责任感。第4部分:质量分析

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Analytics has been defined as the study of historical data to research potential trends, to analyze the effects of certain decisions or events, or to evaluate the performance of a given tool or scenario, with the goal of improving outcomes through greater knowledge (http://www.businessdictionary.com/ definition/analytics/html). While analytics have permeated all aspects of business to date, healthcare analytics represent an area of extremely high and untapped potential. The McKinsley Global Institute (MGI) estimates that big data analysis (i.e., analysis of large datasets) could save the U.S. healthcare system 300 billion dollars annually, with two thirds of that saving in the form of decreasing expenditures by 8 % (http://www.mckinsley.com/insights/mgi/research/technology_ and_innovation/big_data).
机译:分析已定义为对历史数据的研究,以研究潜在趋势,分析某些决策或事件的影响,或评估给定工具或方案的性能,目的是通过更多的知识来改善结果(http:// /www.businessdictionary.com/ definition / analytics / html)。迄今为止,分析已经渗透到业务的各个方面,而医疗保健分析却是一个潜力巨大且尚未开发的领域。麦金斯利全球研究所(MGI)估计,大数据分析(即,大型数据集的分析)每年可以为美国医疗保健系统节省3000亿美元,其中三分之二的储蓄形式是将支出减少了8%(http:// /www.mckinsley.com/insights/mgi/research/technology_ and_innovation / big_data)。

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