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. 2021 Aug 26;23(8):e26162.
doi: 10.2196/26162.

Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey

Ravi Aggarwal  1 , Soma Farag  1 , Guy Martin  1 , Hutan Ashrafian  1 , Ara Darzi  1
Affiliations

Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey

Ravi Aggarwal et al. J Med Internet Res. .

Abstract

Background: Considerable research is being conducted as to how artificial intelligence (AI) can be effectively applied to health care. However, for the successful implementation of AI, large amounts of health data are required for training and testing algorithms. As such, there is a need to understand the perspectives and viewpoints of patients regarding the use of their health data in AI research.

Objective: We surveyed a large sample of patients for identifying current awareness regarding health data research, and for obtaining their opinions and views on data sharing for AI research purposes, and on the use of AI technology on health care data.

Methods: A cross-sectional survey with patients was conducted at a large multisite 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. The respondents had generally low levels of prior knowledge about AI. Most were comfortable with sharing health data with the National Health Service (NHS) (318/408, 77.9%) or universities (268/408, 65.7%), but far fewer with commercial organizations such as technology companies (108/408, 26.4%). The majority endorsed AI research on health care data (357/408, 87.4%) and health care imaging (353/408, 86.4%) in a university setting, provided that concerns about privacy, reidentification of anonymized health care data, and consent processes were addressed.

Conclusions: There were significant variations in the patient perceptions, levels of support, and understanding of health data research and AI. Greater public engagement levels and debates are necessary to ensure the acceptability of AI research and its successful integration into clinical practice in future.

Keywords: artificial intelligence; data sharing; health data; patient perception; privacy.

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Conflict of interest statement

Conflicts of Interest: AD is Chair of the Health Security initiative at Flagship Pioneering UK Ltd.

Figures

Figure 1
Figure 1
Significance map detailing the directionality and significance of the relationships between the responses and the panel of demographic characteristics. BAME: Black, Asian, and minority ethnic; ML: machine learning; NHS: National Health Service.
See this image and copyright information in PMC

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