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AI & SOCIETY

23-01-2024 | Open Forum

Ethical concerns around privacy and data security in AI health monitoring for Parkinson’s disease: insights from patients, family members, and healthcare professionals

Authors: Itai Bavli, Anita Ho, Ravneet Mahal, Martin J. McKeown

Published in: AI & SOCIETY

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Abstract

Artificial intelligence (AI) technologies in medicine are gradually changing biomedical research and patient care. High expectations and promises from novel AI applications aiming to positively impact society raise new ethical considerations for patients and caregivers who use these technologies. Based on a qualitative content analysis of semi-structured interviews and focus groups with healthcare professionals (HCPs), patients, and family members of patients with Parkinson’s Disease (PD), the present study investigates participant views on the comparative benefits and problems of using human versus AI predictive computer vision health monitoring, as well as participants’ ethical concerns regarding these technologies. Participants presumed that AI monitoring would enhance information sharing and treatment, but voiced concerns about data ownership, data protection, commercialization of patient data, and privacy at home. They highlighted that privacy issues at home and data security issues are often linked and should be investigated together. Findings may help technologists, HCPs, and policymakers determine how to incorporate stakeholders’ intersecting but divergent concerns into developing and implementing AI PD monitoring tools.

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Appendix
Available only for authorised users
Footnotes
1
The CAMERA study took place before the technology was introduced into patients’ homes. However, participants were invited to engage during the development stage in a healthcare setting where the system was being tested.
 
2
We use the following abbreviations: ‘P’: patient (e.g., P01); 'HCP': healthcare professional (e.g., HCP01); and ‘FM’: family member (e.g., FM01).
 
3
Both HCPs and patients shared similar excitement about the potential benefits of the new technology. These excitements include the belief that the system will provide better and more accurate data to neurologists, leading to better intervention and treatment decisions. Healthcare professionals were more specific regarding the potential benefits, highlighting behaviours and patterns the technology is likely to identify, for example, mood, cognition, motor symptoms, mobility, gait, freezing, and involuntary movement (dyskinesia).
 
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Metadata
Title
Ethical concerns around privacy and data security in AI health monitoring for Parkinson’s disease: insights from patients, family members, and healthcare professionals
Authors
Itai Bavli
Anita Ho
Ravneet Mahal
Martin J. McKeown
Publication date
23-01-2024
Publisher
Springer London
Published in
AI & SOCIETY
Print ISSN: 0951-5666
Electronic ISSN: 1435-5655
DOI
https://doi.org/10.1007/s00146-023-01843-6

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