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首页> 外文期刊>World neurosurgery >Variance Reduction in Neurosurgical Practice: The Case for Analytics-Driven Decision Support in the Era of Big Data
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Variance Reduction in Neurosurgical Practice: The Case for Analytics-Driven Decision Support in the Era of Big Data

机译:神经外科实践的差异减少:大数据时代的分析驱动决策支持的情况

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摘要

OBJECTIVE: Variance between providers in neurosurgery can lead to inefficiencies and poor patient outcomes. Evidence-based guidelines (EBGs) have been developed; however, they have not been well implemented into the clinician workflow. Therefore, clinicians have been left to make decisions with incomplete information. Equally underused are the electronic health records (EHRs), which house enormous amounts of health data, but the power of that "big data" has failed to be capitalized on.
机译:目的:神经外科的提供者之间的差异可能导致效率低下和患者结果不佳。 已经制定了基于证据的准则(EBG); 但是,它们并未充分利用临床医生工作流程。 因此,临床医生已经留下了不完整的信息做出决定。 同样未充分利用的是电子健康记录(EHRS),其中大量的健康数据,但“大数据”的力量未能被大写。

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