作者: Elena Gritsenko Toth , A Mcleod , D Gibbs , J Moczygemba
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摘要: Currently, there is a lot of excitement in the healthcare field about using big data and healthcare analytics for disease risk prediction, clinical decision support, and overall support for personalized medicine. However, this excitement hasn’t effectively translated to improved clinical outcomes due to knowledge gaps, a lack of behavioral risk models and resistance to evidence-based practice. Reportedly, only 10-20% of clinical decisions are known to be evidence-based (Moskowitz, McSparron, Stone, & Celi, 2015) and this problem is further highlighted by the fact that the US spends more money on healthcare per person than any other nation, while still wrestling with poor health outcomes (Barrett,