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Exploring stakeholder attitudes towards AI in clinical practice

OBJECTIVES: Different stakeholders may hold varying attitudes towards artificial intelligence (AI) applications in healthcare, which may constrain their acceptance if AI developers fail to take them into account. We set out to ascertain evidence of the attitudes of clinicians, consumers, managers, r...

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Detalles Bibliográficos
Autores principales: Scott, Ian A, Carter, Stacy M, Coiera, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663096/
https://www.ncbi.nlm.nih.gov/pubmed/34887331
http://dx.doi.org/10.1136/bmjhci-2021-100450
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author Scott, Ian A
Carter, Stacy M
Coiera, Enrico
author_facet Scott, Ian A
Carter, Stacy M
Coiera, Enrico
author_sort Scott, Ian A
collection PubMed
description OBJECTIVES: Different stakeholders may hold varying attitudes towards artificial intelligence (AI) applications in healthcare, which may constrain their acceptance if AI developers fail to take them into account. We set out to ascertain evidence of the attitudes of clinicians, consumers, managers, researchers, regulators and industry towards AI applications in healthcare. METHODS: We undertook an exploratory analysis of articles whose titles or abstracts contained the terms ‘artificial intelligence’ or ‘AI’ and ‘medical’ or ‘healthcare’ and ‘attitudes’, ‘perceptions’, ‘opinions’, ‘views’, ‘expectations’. Using a snowballing strategy, we searched PubMed and Google Scholar for articles published 1 January 2010 through 31 May 2021. We selected articles relating to non-robotic clinician-facing AI applications used to support healthcare-related tasks or decision-making. RESULTS: Across 27 studies, attitudes towards AI applications in healthcare, in general, were positive, more so for those with direct experience of AI, but provided certain safeguards were met. AI applications which automated data interpretation and synthesis were regarded more favourably by clinicians and consumers than those that directly influenced clinical decisions or potentially impacted clinician–patient relationships. Privacy breaches and personal liability for AI-related error worried clinicians, while loss of clinician oversight and inability to fully share in decision-making worried consumers. Both clinicians and consumers wanted AI-generated advice to be trustworthy, while industry groups emphasised AI benefits and wanted more data, funding and regulatory certainty. DISCUSSION: Certain expectations of AI applications were common to many stakeholder groups from which a set of dependencies can be defined. CONCLUSION: Stakeholders differ in some but not all of their attitudes towards AI. Those developing and implementing applications should consider policies and processes that bridge attitudinal disconnects between different stakeholders.
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spelling pubmed-86630962021-12-27 Exploring stakeholder attitudes towards AI in clinical practice Scott, Ian A Carter, Stacy M Coiera, Enrico BMJ Health Care Inform Review OBJECTIVES: Different stakeholders may hold varying attitudes towards artificial intelligence (AI) applications in healthcare, which may constrain their acceptance if AI developers fail to take them into account. We set out to ascertain evidence of the attitudes of clinicians, consumers, managers, researchers, regulators and industry towards AI applications in healthcare. METHODS: We undertook an exploratory analysis of articles whose titles or abstracts contained the terms ‘artificial intelligence’ or ‘AI’ and ‘medical’ or ‘healthcare’ and ‘attitudes’, ‘perceptions’, ‘opinions’, ‘views’, ‘expectations’. Using a snowballing strategy, we searched PubMed and Google Scholar for articles published 1 January 2010 through 31 May 2021. We selected articles relating to non-robotic clinician-facing AI applications used to support healthcare-related tasks or decision-making. RESULTS: Across 27 studies, attitudes towards AI applications in healthcare, in general, were positive, more so for those with direct experience of AI, but provided certain safeguards were met. AI applications which automated data interpretation and synthesis were regarded more favourably by clinicians and consumers than those that directly influenced clinical decisions or potentially impacted clinician–patient relationships. Privacy breaches and personal liability for AI-related error worried clinicians, while loss of clinician oversight and inability to fully share in decision-making worried consumers. Both clinicians and consumers wanted AI-generated advice to be trustworthy, while industry groups emphasised AI benefits and wanted more data, funding and regulatory certainty. DISCUSSION: Certain expectations of AI applications were common to many stakeholder groups from which a set of dependencies can be defined. CONCLUSION: Stakeholders differ in some but not all of their attitudes towards AI. Those developing and implementing applications should consider policies and processes that bridge attitudinal disconnects between different stakeholders. BMJ Publishing Group 2021-12-09 /pmc/articles/PMC8663096/ /pubmed/34887331 http://dx.doi.org/10.1136/bmjhci-2021-100450 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Review
Scott, Ian A
Carter, Stacy M
Coiera, Enrico
Exploring stakeholder attitudes towards AI in clinical practice
title Exploring stakeholder attitudes towards AI in clinical practice
title_full Exploring stakeholder attitudes towards AI in clinical practice
title_fullStr Exploring stakeholder attitudes towards AI in clinical practice
title_full_unstemmed Exploring stakeholder attitudes towards AI in clinical practice
title_short Exploring stakeholder attitudes towards AI in clinical practice
title_sort exploring stakeholder attitudes towards ai in clinical practice
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663096/
https://www.ncbi.nlm.nih.gov/pubmed/34887331
http://dx.doi.org/10.1136/bmjhci-2021-100450
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