Roski Joachim, Bo-Linn George W, Andrews Timothy A
Joachim Roski (
George W. Bo-Linn is a senior adviser in the Improvement Division, Alvarez and Marsal, in San Francisco, California.
Health Aff (Millwood). 2014 Jul;33(7):1115-22. doi: 10.1377/hlthaff.2014.0147.
Big data has the potential to create significant value in health care by improving outcomes while lowering costs. Big data's defining features include the ability to handle massive data volume and variety at high velocity. New, flexible, and easily expandable information technology (IT) infrastructure, including so-called data lakes and cloud data storage and management solutions, make big-data analytics possible. However, most health IT systems still rely on data warehouse structures. Without the right IT infrastructure, analytic tools, visualization approaches, work flows, and interfaces, the insights provided by big data are likely to be limited. Big data's success in creating value in the health care sector may require changes in current polices to balance the potential societal benefits of big-data approaches and the protection of patients' confidentiality. Other policy implications of using big data are that many current practices and policies related to data use, access, sharing, privacy, and stewardship need to be revised.
大数据有潜力通过改善医疗结果同时降低成本,在医疗保健领域创造巨大价值。大数据的显著特征包括能够高速处理海量数据及多样数据。新的、灵活且易于扩展的信息技术(IT)基础设施,包括所谓的数据湖以及云数据存储和管理解决方案,使大数据分析成为可能。然而,大多数医疗IT系统仍依赖数据仓库结构。如果没有合适的IT基础设施、分析工具、可视化方法、工作流程和接口,大数据所提供的见解可能会受到限制。大数据要在医疗保健领域成功创造价值,可能需要改变当前政策,以平衡大数据方法潜在的社会效益与对患者隐私的保护。使用大数据的其他政策影响在于,许多当前与数据使用、访问、共享、隐私和管理相关的做法和政策需要修订。