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

lsaa010

Informations 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.

Auteurs

James Scheibner (J)

Health Ethics and Policy Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Marcello Ienca (M)

Health Ethics and Policy Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Sotiria Kechagia (S)

Centre for Digital Trust, School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.

Juan Ramon Troncoso-Pastoriza (JR)

Laboratory for Data Security, School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.

Jean Louis Raisaro (JL)

Unité de Médecine de Précision, CHUV, Lausanne, Switzerland.

Jean-Pierre Hubaux (JP)

Laboratory for Data Security, School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.

Jacques Fellay (J)

Unité de Médecine de Précision, CHUV, Lausanne, Switzerland.
School of Life Sciences, EPFL, Lausanne, Switzerland.
Host-Pathogen Genomics Laboratory, Swiss Institute of Bioinformatics, Lausanne, Switzerland.

Effy Vayena (E)

Health Ethics and Policy Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Classifications MeSH