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Patient apprehensions about the use of artificial intelligence in healthcare
While there is significant enthusiasm in the medical community about the use of artificial intelligence (AI) technologies in healthcare, few research studies have sought to assess patient perspectives on these technologies. We conducted 15 focus groups examining patient views of diverse applications...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455556/ https://www.ncbi.nlm.nih.gov/pubmed/34548621 http://dx.doi.org/10.1038/s41746-021-00509-1 |
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author | Richardson, Jordan P. Smith, Cambray Curtis, Susan Watson, Sara Zhu, Xuan Barry, Barbara Sharp, Richard R. |
author_facet | Richardson, Jordan P. Smith, Cambray Curtis, Susan Watson, Sara Zhu, Xuan Barry, Barbara Sharp, Richard R. |
author_sort | Richardson, Jordan P. |
collection | PubMed |
description | While there is significant enthusiasm in the medical community about the use of artificial intelligence (AI) technologies in healthcare, few research studies have sought to assess patient perspectives on these technologies. We conducted 15 focus groups examining patient views of diverse applications of AI in healthcare. Our results indicate that patients have multiple concerns, including concerns related to the safety of AI, threats to patient choice, potential increases in healthcare costs, data-source bias, and data security. We also found that patient acceptance of AI is contingent on mitigating these possible harms. Our results highlight an array of patient concerns that may limit enthusiasm for applications of AI in healthcare. Proactively addressing these concerns is critical for the flourishing of ethical innovation and ensuring the long-term success of AI applications in healthcare. |
format | Online Article Text |
id | pubmed-8455556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84555562021-10-07 Patient apprehensions about the use of artificial intelligence in healthcare Richardson, Jordan P. Smith, Cambray Curtis, Susan Watson, Sara Zhu, Xuan Barry, Barbara Sharp, Richard R. NPJ Digit Med Article While there is significant enthusiasm in the medical community about the use of artificial intelligence (AI) technologies in healthcare, few research studies have sought to assess patient perspectives on these technologies. We conducted 15 focus groups examining patient views of diverse applications of AI in healthcare. Our results indicate that patients have multiple concerns, including concerns related to the safety of AI, threats to patient choice, potential increases in healthcare costs, data-source bias, and data security. We also found that patient acceptance of AI is contingent on mitigating these possible harms. Our results highlight an array of patient concerns that may limit enthusiasm for applications of AI in healthcare. Proactively addressing these concerns is critical for the flourishing of ethical innovation and ensuring the long-term success of AI applications in healthcare. Nature Publishing Group UK 2021-09-21 /pmc/articles/PMC8455556/ /pubmed/34548621 http://dx.doi.org/10.1038/s41746-021-00509-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Richardson, Jordan P. Smith, Cambray Curtis, Susan Watson, Sara Zhu, Xuan Barry, Barbara Sharp, Richard R. Patient apprehensions about the use of artificial intelligence in healthcare |
title | Patient apprehensions about the use of artificial intelligence in healthcare |
title_full | Patient apprehensions about the use of artificial intelligence in healthcare |
title_fullStr | Patient apprehensions about the use of artificial intelligence in healthcare |
title_full_unstemmed | Patient apprehensions about the use of artificial intelligence in healthcare |
title_short | Patient apprehensions about the use of artificial intelligence in healthcare |
title_sort | patient apprehensions about the use of artificial intelligence in healthcare |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455556/ https://www.ncbi.nlm.nih.gov/pubmed/34548621 http://dx.doi.org/10.1038/s41746-021-00509-1 |
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