IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

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
View Sample PDF
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

Purchase

View Big Data and Healthcare: Implications for Medical and Health Care in Low Resource Countries on the publisher's website for pricing and purchasing information.

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.

Related Content

Reshma Prashad, Mei Chen. © 2022. 14 pages.
Evaristus Adesina, Olusola Oyero, Nelson Okorie, Charity Ben-Enukora, Babatunde Adeyeye. © 2022. 18 pages.
Toyosi Olugbenga Samson Owolabi, Nahimah Ajikanle Nurudeen. © 2022. 17 pages.
Opeyemi Olaoluwa Oredola, Kehinde Opeyemi Oyesomi, Ada Sonia Peter. © 2022. 20 pages.
Yasmin Grant. © 2022. 19 pages.
Dela Idowu, Gillian King. © 2022. 18 pages.
Liliana Vale Costa, Ana Isabel Veloso. © 2022. 19 pages.
Body Bottom