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A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare
Artificial intelligence (AI) is expected to improve healthcare outcomes by facilitating early diagnosis, reducing the medical administrative burden, aiding drug development, personalising medical and oncological management, monitoring healthcare parameters on an individual basis, and allowing clinic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623210/ https://www.ncbi.nlm.nih.gov/pubmed/37927664 http://dx.doi.org/10.7759/cureus.46454 |
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author | Ahmed, Molla Imaduddin Spooner, Brendan Isherwood, John Lane, Mark Orrock, Emma Dennison, Ashley |
author_facet | Ahmed, Molla Imaduddin Spooner, Brendan Isherwood, John Lane, Mark Orrock, Emma Dennison, Ashley |
author_sort | Ahmed, Molla Imaduddin |
collection | PubMed |
description | Artificial intelligence (AI) is expected to improve healthcare outcomes by facilitating early diagnosis, reducing the medical administrative burden, aiding drug development, personalising medical and oncological management, monitoring healthcare parameters on an individual basis, and allowing clinicians to spend more time with their patients. In the post-pandemic world where there is a drive for efficient delivery of healthcare and manage long waiting times for patients to access care, AI has an important role in supporting clinicians and healthcare systems to streamline the care pathways and provide timely and high-quality care for the patients. Despite AI technologies being used in healthcare for some decades, and all the theoretical potential of AI, the uptake in healthcare has been uneven and slower than anticipated and there remain a number of barriers, both overt and covert, which have limited its incorporation. This literature review highlighted barriers in six key areas: ethical, technological, liability and regulatory, workforce, social, and patient safety barriers. Defining and understanding the barriers preventing the acceptance and implementation of AI in the setting of healthcare will enable clinical staff and healthcare leaders to overcome the identified hurdles and incorporate AI technologies for the benefit of patients and clinical staff. |
format | Online Article Text |
id | pubmed-10623210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-106232102023-11-04 A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare Ahmed, Molla Imaduddin Spooner, Brendan Isherwood, John Lane, Mark Orrock, Emma Dennison, Ashley Cureus Healthcare Technology Artificial intelligence (AI) is expected to improve healthcare outcomes by facilitating early diagnosis, reducing the medical administrative burden, aiding drug development, personalising medical and oncological management, monitoring healthcare parameters on an individual basis, and allowing clinicians to spend more time with their patients. In the post-pandemic world where there is a drive for efficient delivery of healthcare and manage long waiting times for patients to access care, AI has an important role in supporting clinicians and healthcare systems to streamline the care pathways and provide timely and high-quality care for the patients. Despite AI technologies being used in healthcare for some decades, and all the theoretical potential of AI, the uptake in healthcare has been uneven and slower than anticipated and there remain a number of barriers, both overt and covert, which have limited its incorporation. This literature review highlighted barriers in six key areas: ethical, technological, liability and regulatory, workforce, social, and patient safety barriers. Defining and understanding the barriers preventing the acceptance and implementation of AI in the setting of healthcare will enable clinical staff and healthcare leaders to overcome the identified hurdles and incorporate AI technologies for the benefit of patients and clinical staff. Cureus 2023-10-04 /pmc/articles/PMC10623210/ /pubmed/37927664 http://dx.doi.org/10.7759/cureus.46454 Text en Copyright © 2023, Ahmed et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Healthcare Technology Ahmed, Molla Imaduddin Spooner, Brendan Isherwood, John Lane, Mark Orrock, Emma Dennison, Ashley A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare |
title | A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare |
title_full | A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare |
title_fullStr | A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare |
title_full_unstemmed | A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare |
title_short | A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare |
title_sort | systematic review of the barriers to the implementation of artificial intelligence in healthcare |
topic | Healthcare Technology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623210/ https://www.ncbi.nlm.nih.gov/pubmed/37927664 http://dx.doi.org/10.7759/cureus.46454 |
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