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Artificial intelligence in healthcare: Proposals for policy development in South Africa
Despite the tremendous promise offered by artificial intelligence (AI) for healthcare in South Africa, existing policy frameworks are inadequate for encouraging innovation in this field. Practical, concrete and solution-driven policy recommendations are needed to encourage the creation and use of AI...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439582/ https://www.ncbi.nlm.nih.gov/pubmed/36061984 http://dx.doi.org/10.7196/sajbl.2022.v15i1.797 |
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author | Naidoo, S Bottomley, D Naidoo, M Donnelly, D Thaldar, D W |
author_facet | Naidoo, S Bottomley, D Naidoo, M Donnelly, D Thaldar, D W |
author_sort | Naidoo, S |
collection | PubMed |
description | Despite the tremendous promise offered by artificial intelligence (AI) for healthcare in South Africa, existing policy frameworks are inadequate for encouraging innovation in this field. Practical, concrete and solution-driven policy recommendations are needed to encourage the creation and use of AI systems. This article considers five distinct problematic issues which call for policy development: (i) outdated legislation; (ii) data and algorithmic bias; (iii) the impact on the healthcare workforce; (iv) the imposition of liability dilemma; and (v) a lack of innovation and development of AI systems for healthcare in South Africa. The adoption of a national policy framework that addresses these issues directly is imperative to ensure the uptake of AI development and deployment for healthcare in a safe, responsible and regulated manner. |
format | Online Article Text |
id | pubmed-9439582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-94395822022-09-02 Artificial intelligence in healthcare: Proposals for policy development in South Africa Naidoo, S Bottomley, D Naidoo, M Donnelly, D Thaldar, D W S Afr J Bioeth Law Article Despite the tremendous promise offered by artificial intelligence (AI) for healthcare in South Africa, existing policy frameworks are inadequate for encouraging innovation in this field. Practical, concrete and solution-driven policy recommendations are needed to encourage the creation and use of AI systems. This article considers five distinct problematic issues which call for policy development: (i) outdated legislation; (ii) data and algorithmic bias; (iii) the impact on the healthcare workforce; (iv) the imposition of liability dilemma; and (v) a lack of innovation and development of AI systems for healthcare in South Africa. The adoption of a national policy framework that addresses these issues directly is imperative to ensure the uptake of AI development and deployment for healthcare in a safe, responsible and regulated manner. 2022-08-05 2022-05-19 /pmc/articles/PMC9439582/ /pubmed/36061984 http://dx.doi.org/10.7196/sajbl.2022.v15i1.797 Text en https://creativecommons.org/licenses/by-nc/4.0/This open-access article is distributed under Creative Commons licence CC-BY-NC 4.0. |
spellingShingle | Article Naidoo, S Bottomley, D Naidoo, M Donnelly, D Thaldar, D W Artificial intelligence in healthcare: Proposals for policy development in South Africa |
title | Artificial intelligence in healthcare: Proposals for policy development in South Africa |
title_full | Artificial intelligence in healthcare: Proposals for policy development in South Africa |
title_fullStr | Artificial intelligence in healthcare: Proposals for policy development in South Africa |
title_full_unstemmed | Artificial intelligence in healthcare: Proposals for policy development in South Africa |
title_short | Artificial intelligence in healthcare: Proposals for policy development in South Africa |
title_sort | artificial intelligence in healthcare: proposals for policy development in south africa |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439582/ https://www.ncbi.nlm.nih.gov/pubmed/36061984 http://dx.doi.org/10.7196/sajbl.2022.v15i1.797 |
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