e-Infrastructure and e-Services for Developing Countries. 11th EAI International Conference, AFRICOMM 2019, Porto-Novo, Benin, December 3–4, 2019, Proceedings

Research Article

Laws and Regulations on Big Data Management: The Case of South Africa

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  • @INPROCEEDINGS{10.1007/978-3-030-41593-8_12,
        author={Patrick Sello and Antoine Bagula and Olasupo Ajayi},
        title={Laws and Regulations on Big Data Management: The Case of South Africa},
        proceedings={e-Infrastructure and e-Services for Developing Countries. 11th EAI International Conference, AFRICOMM 2019, Porto-Novo, Benin, December 3--4, 2019, Proceedings},
        proceedings_a={AFRICOMM},
        year={2020},
        month={2},
        keywords={Big data management Laws Regulations Healthcare},
        doi={10.1007/978-3-030-41593-8_12}
    }
    
  • Patrick Sello
    Antoine Bagula
    Olasupo Ajayi
    Year: 2020
    Laws and Regulations on Big Data Management: The Case of South Africa
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-030-41593-8_12
Patrick Sello1, Antoine Bagula1,*, Olasupo Ajayi1
  • 1: University of the Western Cape
*Contact email: abagula@uwc.ac.za

Abstract

A growing global trend has been witnessed in many developing countries where efforts and resources are been invested in advancement of electronic health information. The expectation is to improve the quality of health care, increase universal health coverage, and reduce both Legal Cases and healthcare costs in a changing world where data collected while providing healthcare produces big data sets which can provide useful insights for the advancement of healthcare services. The challenge is a greater risk for legal regulations to keep up with the accelerated global changes resulting from Big Data, and loss of information privacy created by digital transformation. In some countries, legal, privacy and ethical issues related to use and access to personal health data still causes foreseeable challenges. This article reviews the South African laws and regulations in handling, processing, storing, accessing and big data analytics on digital health data.