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An African Relational Approach to Healthcare and Big Data Challenges
Big Data has amplified some challenges in the healthcare context. One significant challenge is how to use healthcare big data (HBD) in ways that honor individual rights to informed consent or privacy. Careful analysis from diverse backgrounds will be vital in contributing ethical guidelines that can...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160550/ https://www.ncbi.nlm.nih.gov/pubmed/34047844 http://dx.doi.org/10.1007/s11948-021-00313-w |
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author | Ewuoso, Cornelius |
author_facet | Ewuoso, Cornelius |
author_sort | Ewuoso, Cornelius |
collection | PubMed |
description | Big Data has amplified some challenges in the healthcare context. One significant challenge is how to use healthcare big data (HBD) in ways that honor individual rights to informed consent or privacy. Careful analysis from diverse backgrounds will be vital in contributing ethical guidelines that can adequately address healthcare Big Data's growing complexities globally. Especially, the study argues that an under-explored African philosophy of Ubuntu can usefully influence big data practices in ways that address this challenge without undermining its benefits. Ubuntu emphasizes harmonious relationships. Harmonious relations entail identifying with one another and exhibiting solidarity to each other. One can identify or exhibit solidarity with others through psychological attitudes such as thinking of oneself as part of a “we” and acting in ways that will more likely improve the quality of life of others. The African relational philosophy of Ubuntu deserves to be given an audience not only for epistemic justice but also because the continued absence of African perspective in the discourse on ethical use of HBD science represents a missed opportunity to enrich ethical thinking about HBD from diverse backgrounds. Research is, however, required to provide greater specificity on how Ubuntu values may be integrated into HBD analytic techniques. |
format | Online Article Text |
id | pubmed-8160550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-81605502021-05-28 An African Relational Approach to Healthcare and Big Data Challenges Ewuoso, Cornelius Sci Eng Ethics Original Research/Scholarship Big Data has amplified some challenges in the healthcare context. One significant challenge is how to use healthcare big data (HBD) in ways that honor individual rights to informed consent or privacy. Careful analysis from diverse backgrounds will be vital in contributing ethical guidelines that can adequately address healthcare Big Data's growing complexities globally. Especially, the study argues that an under-explored African philosophy of Ubuntu can usefully influence big data practices in ways that address this challenge without undermining its benefits. Ubuntu emphasizes harmonious relationships. Harmonious relations entail identifying with one another and exhibiting solidarity to each other. One can identify or exhibit solidarity with others through psychological attitudes such as thinking of oneself as part of a “we” and acting in ways that will more likely improve the quality of life of others. The African relational philosophy of Ubuntu deserves to be given an audience not only for epistemic justice but also because the continued absence of African perspective in the discourse on ethical use of HBD science represents a missed opportunity to enrich ethical thinking about HBD from diverse backgrounds. Research is, however, required to provide greater specificity on how Ubuntu values may be integrated into HBD analytic techniques. Springer Netherlands 2021-05-28 2021 /pmc/articles/PMC8160550/ /pubmed/34047844 http://dx.doi.org/10.1007/s11948-021-00313-w Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research/Scholarship Ewuoso, Cornelius An African Relational Approach to Healthcare and Big Data Challenges |
title | An African Relational Approach to Healthcare and Big Data Challenges |
title_full | An African Relational Approach to Healthcare and Big Data Challenges |
title_fullStr | An African Relational Approach to Healthcare and Big Data Challenges |
title_full_unstemmed | An African Relational Approach to Healthcare and Big Data Challenges |
title_short | An African Relational Approach to Healthcare and Big Data Challenges |
title_sort | african relational approach to healthcare and big data challenges |
topic | Original Research/Scholarship |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160550/ https://www.ncbi.nlm.nih.gov/pubmed/34047844 http://dx.doi.org/10.1007/s11948-021-00313-w |
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