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Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study

Patients and members of the public are the end users of healthcare, but little is known about their views on the use of artificial intelligence (AI) in healthcare, particularly in the Japanese context. This paper reports on an exploratory two-part workshop conducted with members of a Patient and Pub...

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Autores principales: Katirai, Amelia, Yamamoto, Beverley Anne, Kogetsu, Atsushi, Kato, Kazuto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533983/
https://www.ncbi.nlm.nih.gov/pubmed/37781456
http://dx.doi.org/10.3389/fdgth.2023.1229308
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author Katirai, Amelia
Yamamoto, Beverley Anne
Kogetsu, Atsushi
Kato, Kazuto
author_facet Katirai, Amelia
Yamamoto, Beverley Anne
Kogetsu, Atsushi
Kato, Kazuto
author_sort Katirai, Amelia
collection PubMed
description Patients and members of the public are the end users of healthcare, but little is known about their views on the use of artificial intelligence (AI) in healthcare, particularly in the Japanese context. This paper reports on an exploratory two-part workshop conducted with members of a Patient and Public Involvement Panel in Japan, which was designed to identify their expectations and concerns about the use of AI in healthcare broadly. 55 expectations and 52 concerns were elicited from workshop participants, who were then asked to cluster and title these expectations and concerns. Thematic content analysis was used to identify 12 major themes from this data. Participants had notable expectations around improved hospital administration, improved quality of care and patient experience, and positive changes in roles and relationships, and reductions in costs and disparities. These were counterbalanced by concerns about problematic changes to healthcare and a potential loss of autonomy, as well as risks around accountability and data management, and the possible emergence of new disparities. The findings reflect participants' expectations for AI as a possible solution for long-standing issues in healthcare, though their overall balanced view of AI mirrors findings reported in other contexts. Thus, this paper offers initial, novel insights into perspectives on AI in healthcare from the Japanese context. Moreover, the findings are used to argue for the importance of involving patient and public stakeholders in deliberation on AI in healthcare.
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spelling pubmed-105339832023-09-29 Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study Katirai, Amelia Yamamoto, Beverley Anne Kogetsu, Atsushi Kato, Kazuto Front Digit Health Digital Health Patients and members of the public are the end users of healthcare, but little is known about their views on the use of artificial intelligence (AI) in healthcare, particularly in the Japanese context. This paper reports on an exploratory two-part workshop conducted with members of a Patient and Public Involvement Panel in Japan, which was designed to identify their expectations and concerns about the use of AI in healthcare broadly. 55 expectations and 52 concerns were elicited from workshop participants, who were then asked to cluster and title these expectations and concerns. Thematic content analysis was used to identify 12 major themes from this data. Participants had notable expectations around improved hospital administration, improved quality of care and patient experience, and positive changes in roles and relationships, and reductions in costs and disparities. These were counterbalanced by concerns about problematic changes to healthcare and a potential loss of autonomy, as well as risks around accountability and data management, and the possible emergence of new disparities. The findings reflect participants' expectations for AI as a possible solution for long-standing issues in healthcare, though their overall balanced view of AI mirrors findings reported in other contexts. Thus, this paper offers initial, novel insights into perspectives on AI in healthcare from the Japanese context. Moreover, the findings are used to argue for the importance of involving patient and public stakeholders in deliberation on AI in healthcare. Frontiers Media S.A. 2023-09-13 /pmc/articles/PMC10533983/ /pubmed/37781456 http://dx.doi.org/10.3389/fdgth.2023.1229308 Text en © 2023 Katirai, Yamamoto, Kogetsu and Kato. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Katirai, Amelia
Yamamoto, Beverley Anne
Kogetsu, Atsushi
Kato, Kazuto
Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study
title Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study
title_full Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study
title_fullStr Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study
title_full_unstemmed Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study
title_short Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study
title_sort perspectives on artificial intelligence in healthcare from a patient and public involvement panel in japan: an exploratory study
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533983/
https://www.ncbi.nlm.nih.gov/pubmed/37781456
http://dx.doi.org/10.3389/fdgth.2023.1229308
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