大数据
分析
数据科学
数据分析
医疗保健
计算机科学
商业分析
预测分析
商业智能
可追溯性
知识管理
业务
营销
数据挖掘
商业模式
经济
软件工程
业务分析
经济增长
作者
Yichuan Wang,LeeAnn Kung,Terry Anthony Byrd
标识
DOI:10.1016/j.techfore.2015.12.019
摘要
To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics. While the constantly growing body of academic research on big data analytics is mostly technology oriented, a better understanding of the strategic implications of big data is urgently needed. To address this lack, this study examines the historical development, architectural design and component functionalities of big data analytics. From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability, and traceability. We also mapped the benefits driven by big data analytics in terms of information technology (IT) infrastructure, operational, organizational, managerial and strategic areas. In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them seeking to formulate more effective data-driven analytics strategies.
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