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Big Data and Healthcare: Implications for Medical and Health Care in Low Resource Countries

Big Data and Healthcare: Implications for Medical and Health Care in Low Resource Countries
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Author(s): Kgomotso H. Moahi (University of Botswana, Botswana)
Copyright: 2019
Pages: 19
Source title: Web Services: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7501-6.ch073

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Abstract

Big data and its application to healthcare has captured the world's imagination because of the ability of data analysts to combine huge disparate datasets and be able to produce trends, patterns and predictions. This ability lends itself to the quest to improve healthcare in terms of quality as well as cost. This chapter explores what big data is and how it can be applied to health care and medicine. To do this, the first sections address the question of what big data and data analytics are and what they encompass. An exploration of the potential benefits of big data is provided, with examples of applications, most of which are from the more developed nations of the United States and Europe. The chapter then considers what might be possible from implementing big data in low resource countries, with some examples of what already pertains. It looks at the challenges of implementing big data in health care in both developed and low resource countries.

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