Challenges and Opportunities of Big Data in Health Care: A Systematic Review

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 oppor...

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Bibliographic Details
Published in:	JMIR medical informatics Vol. 4; no. 4; p. e38
Main Authors:	Kruse, Clemens Scott, Goswamy, Rishi, Raval, Yesha, Marawi, Sarah
Format:	Journal Article
Language:	English
Published:	Canada JMIR Publications 21-11-2016
Subjects:	American Recovery & Reinvestment Act 2009-US Big Data Data analysis Data collection Electronic health records Genomics Information technology Quality control Review Systematic review Trends United States > US analytics human genome electronic medical record big data health care
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Summary:	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.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1
ISSN:	2291-9694 2291-9694
DOI:	10.2196/medinform.5359