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@article{Aggarwal:2021:10.2196/26162,
author = {Aggarwal, R and Farag, S and Martin, G and Ashrafian, H and Darzi, A},
doi = {10.2196/26162},
journal = {Journal of Medical Internet Research},
pages = {1--12},
title = {Patient perceptions on data sharing and applying artificial intelligence to healthcare data: a cross sectional survey},
url = {http://dx.doi.org/10.2196/26162},
volume = {23},
year = {2021}
}

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TY  - JOUR
AB  - 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.
AU  - Aggarwal,R
AU  - Farag,S
AU  - Martin,G
AU  - Ashrafian,H
AU  - Darzi,A
DO  - 10.2196/26162
EP  - 12
PY  - 2021///
SN  - 1438-8871
SP  - 1
TI  - Patient perceptions on data sharing and applying artificial intelligence to healthcare data: a cross sectional survey
T2  - Journal of Medical Internet Research
UR  - http://dx.doi.org/10.2196/26162
UR  - https://www.jmir.org/2021/8/e26162
UR  - http://hdl.handle.net/10044/1/90786
VL  - 23
ER  -

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