Data protection and ethics requirements for multisite research with health data: a comparative examination of legislative governance frameworks and the role of data protection technologies.
Advanced cryptography
Biomedical data
Data protection
Data sharing
Multisite research
Personalised healthcare
Journal
Journal of law and the biosciences
ISSN: 2053-9711
Titre abrégé: J Law Biosci
Pays: England
ID NLM: 101633120
Informations de publication
Date de publication:
Historique:
received:
25
02
2020
revised:
14
04
2020
accepted:
15
04
2020
entrez:
1
8
2020
pubmed:
1
8
2020
medline:
1
8
2020
Statut:
epublish
Résumé
Personalised medicine can improve both public and individual health by providing targeted preventative and therapeutic healthcare. However, patient health data must be shared between institutions and across jurisdictions for the benefits of personalised medicine to be realised. Whilst data protection, privacy, and research ethics laws protect patient confidentiality and safety they also may impede multisite research, particularly across jurisdictions. Accordingly, we compare the concept of data accessibility in data protection and research ethics laws across seven jurisdictions. These jurisdictions include Switzerland, Italy, Spain, the United Kingdom (which have implemented the General Data Protection Regulation), the United States, Canada, and Australia. Our paper identifies the requirements for consent, the standards for anonymisation or pseudonymisation, and adequacy of protection between jurisdictions as barriers for sharing. We also identify differences between the European Union and other jurisdictions as a significant barrier for data accessibility in cross jurisdictional multisite research. Our paper concludes by considering solutions to overcome these legislative differences. These solutions include data transfer agreements and organisational collaborations designed to `front load' the process of ethics approval, so that subsequent research protocols are standardised. We also allude to technical solutions, such as distributed computing, secure multiparty computation and homomorphic encryption.
Identifiants
pubmed: 32733683
doi: 10.1093/jlb/lsaa010
pii: lsaa010
pmc: PMC7381977
doi:
Types de publication
Journal Article
Langues
eng
Pagination
lsaa010Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of Duke University School of Law, Harvard Law School, Oxford University Press, and Stanford Law School.