Challenges and Opportunities of Big Data in Health Care: A Systematic Review
By C. Kruse, R. Goswamy, Yesha Raval, Sarah Marawi. JMIR Medical Informatics, 2016
356 citations recorded by the source corpus.
Background 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. Objective 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. Methods 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. Results 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. Conclusions Big data analytics has the potential for positive impact and global implications; however, it must overcome some legitimate obstacles.
Subfields: Artificial Intelligence, Health Informatics, Health Information Management
View Paper: https://www.semanticscholar.org/paper/aebe2eda5774f46d6413f45c11df58d6339a1003
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Citations in the corpus
- Concurrence of big data analytics and healthcare: A systematic review (2018, methodology): “[32] focuses on the characteristics of Big Data.”
- The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, background): “The sources of data in the field of health-care are the monitoring devices such as the wearables and body sensors, the electronic health records (EHR) collected by the health providers, and mobile phone applications [163].”