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Artificial intelligence: opportunities and implications for the health workforce

Healthcare involves cyclic data processing to derive meaningful, actionable decisions. Rapid increases in clinical data have added to the occupational stress of healthcare workers, affecting their ability to provide quality and effective services. Health systems have to radically rethink strategies...

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Detalles Bibliográficos
Autor principal: Hazarika, Indrajit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322190/
https://www.ncbi.nlm.nih.gov/pubmed/32300794
http://dx.doi.org/10.1093/inthealth/ihaa007
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author Hazarika, Indrajit
author_facet Hazarika, Indrajit
author_sort Hazarika, Indrajit
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description Healthcare involves cyclic data processing to derive meaningful, actionable decisions. Rapid increases in clinical data have added to the occupational stress of healthcare workers, affecting their ability to provide quality and effective services. Health systems have to radically rethink strategies to ensure that staff are satisfied and actively supported in their jobs. Artificial intelligence (AI) has the potential to augment provider performance. This article reviews the available literature to identify AI opportunities that can potentially transform the role of healthcare providers. To leverage AI’s full potential, policymakers, industry, healthcare providers and patients have to address a new set of challenges. Optimizing the benefits of AI will require a balanced approach that enhances accountability and transparency while facilitating innovation.
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spelling pubmed-73221902020-07-02 Artificial intelligence: opportunities and implications for the health workforce Hazarika, Indrajit Int Health Commentary Healthcare involves cyclic data processing to derive meaningful, actionable decisions. Rapid increases in clinical data have added to the occupational stress of healthcare workers, affecting their ability to provide quality and effective services. Health systems have to radically rethink strategies to ensure that staff are satisfied and actively supported in their jobs. Artificial intelligence (AI) has the potential to augment provider performance. This article reviews the available literature to identify AI opportunities that can potentially transform the role of healthcare providers. To leverage AI’s full potential, policymakers, industry, healthcare providers and patients have to address a new set of challenges. Optimizing the benefits of AI will require a balanced approach that enhances accountability and transparency while facilitating innovation. Oxford University Press 2020-04-17 /pmc/articles/PMC7322190/ /pubmed/32300794 http://dx.doi.org/10.1093/inthealth/ihaa007 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Commentary
Hazarika, Indrajit
Artificial intelligence: opportunities and implications for the health workforce
title Artificial intelligence: opportunities and implications for the health workforce
title_full Artificial intelligence: opportunities and implications for the health workforce
title_fullStr Artificial intelligence: opportunities and implications for the health workforce
title_full_unstemmed Artificial intelligence: opportunities and implications for the health workforce
title_short Artificial intelligence: opportunities and implications for the health workforce
title_sort artificial intelligence: opportunities and implications for the health workforce
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322190/
https://www.ncbi.nlm.nih.gov/pubmed/32300794
http://dx.doi.org/10.1093/inthealth/ihaa007
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