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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 Hildegard Moahi (University of Botswana, Botswana)
Copyright: 2017
Pages: 19
Source title: Health Information Systems and the Advancement of Medical Practice in Developing Countries
Source Author(s)/Editor(s): Kgomotso H. Moahi (University of Botswana, Botswana), Kelvin Joseph Bwalya (University of Johannesburg, South Africa)and Peter Mazebe II Sebina (University of Botswana, Botswana)
DOI: 10.4018/978-1-5225-2262-1.ch002

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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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