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Patient perceptions on data sharing and applying artificial intelligence to healthcare data: a cross sectional survey

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Title: Patient perceptions on data sharing and applying artificial intelligence to healthcare data: a cross sectional survey
Authors: Aggarwal, R
Farag, S
Martin, G
Ashrafian, H
Darzi, A
Item Type: Journal Article
Abstract: Background: Considerable research is being conducted as to how artificial intelligence (AI) can be effectively applied to healthcare. However, for it to be successful, large amounts of health data are required for the training and testing of algorithms. Data sharing for this purpose is controversial, therefore it is imperative to understand patient perceptions on this. Objective: To understand the perspectives and viewpoints of patients regarding the use of their health data in AI research. Methods: A cross-sectional survey with patients was conducted at a large multi-site teaching hospital in the United Kingdom. Data were collected on patient and public views about sharing health data for research and the use of AI on health data. Results: A total of 408 participants completed the survey. Respondents had low levels of prior knowledge of AI in general. Most were comfortable with sharing health data with the NHS (77·9%) or universities (65·7%), but far fewer with commercial organisations such as technology companies (26·4%). The majority endorsed AI research on healthcare data (76·8%) and healthcare imaging (76·4%) in a university setting, providing that concerns about privacy, re-identification of anonymised health care data and consent processes were addressed. Conclusions: There is significant variance in patient perceptions, levels of support, and understanding of health data research and AI. There is a need for greater public engagement and debate to ensure the acceptability of AI research and its successful integration into clinical practice in the future.
Issue Date: 8-Jul-2021
Date of Acceptance: 5-Jul-2021
URI: http://hdl.handle.net/10044/1/90786
DOI: 10.2196/26162
ISSN: 1438-8871
Publisher: JMIR Publications
Start Page: 1
End Page: 12
Journal / Book Title: Journal of Medical Internet Research
Volume: 23
Issue: 8
Copyright Statement: ©Ravi Aggarwal, Soma Farag, Guy Martin, Hutan Ashrafian, Ara Darzi. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.08.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
Keywords: artificial intelligence
data sharing
health data
patient perception
privacy
08 Information and Computing Sciences
11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
Medical Informatics
Publication Status: Published
Online Publication Date: 2021-07-08
Appears in Collections:Department of Surgery and Cancer
Faculty of Medicine
Institute of Global Health Innovation



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