Challenges and Opportunities of Big Data in Health Care: A Systematic Review.
Challenges and Opportunities of Big Data in Health Care: A Systematic Review.
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DOI：
10.2196/medinform.5359
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发表时间：
2016-11-21
影响因子：
3.2
通讯作者：
Marawi S
中科院分区：
文献类型：
--
作者：
Kruse CS;Goswamy R;Raval Y;Marawi S
大数据分析在许多商业领域提供了希望，医疗保健正在寻找大数据来为许多与年龄相关的问题提供答案，特别是痴呆症和慢性病管理。这篇综述的目的是总结大数据分析面临的挑战和大数据在医疗保健领域带来的机遇。从2010年1月1日到2016年1月1日共检索了3种出版物(PubMed/MEDLINE、CINAHL和Google Scholar)，并对与医疗保健大数据相关的内容进行了评估。根据研究数据库和谷歌学者(N=28)的搜索结果，作者总结了内容，并分别在挑战和机遇类别下确定了9个和14个主题。我们根据出现的频率对主题进行了排名和分析。最大的挑战是数据结构、安全、数据标准化、存储和传输以及数据治理等管理技能问题。显示的最大机会是质量改进、人口管理和健康、及早发现疾病、数据质量、结构和可获得性、改进决策和降低成本。大数据分析具有产生积极影响和全球影响的潜力；然而，它必须克服一些合法的障碍。
Big data analytics offers promise in many business sectors, and health care is looking at big data to provide answers to many age-related issues, particularly dementia and chronic disease management. The purpose of this review was to summarize the challenges faced by big data analytics and the opportunities that big data opens in health care. A total of 3 searches were performed for publications between January 1, 2010 and January 1, 2016 (PubMed/MEDLINE, CINAHL, and Google Scholar), and an assessment was made on content germane to big data in health care. From the results of the searches in research databases and Google Scholar (N=28), the authors summarized content and identified 9 and 14 themes under the categories Challenges and Opportunities, respectively. We rank-ordered and analyzed the themes based on the frequency of occurrence. The top challenges were issues of data structure, security, data standardization, storage and transfers, and managerial skills such as data governance. The top opportunities revealed were quality improvement, population management and health, early detection of disease, data quality, structure, and accessibility, improved decision making, and cost reduction. Big data analytics has the potential for positive impact and global implications; however, it must overcome some legitimate obstacles.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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