Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis.

GDPR General Data Protection Regulation Interoperability anonymization centralized approach data governance data privacy data protection data sharing decentralized approach encryption ethics federated approach patient data privacy privacy pseudonymization research

Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
25 02 2021
Historique:
received: 19 10 2020
accepted: 16 01 2021
revised: 06 01 2021
entrez: 25 2 2021
pubmed: 26 2 2021
medline: 18 5 2021
Statut: epublish

Résumé

Multisite medical data sharing is critical in modern clinical practice and medical research. The challenge is to conduct data sharing that preserves individual privacy and data utility. The shortcomings of traditional privacy-enhancing technologies mean that institutions rely upon bespoke data sharing contracts. The lengthy process and administration induced by these contracts increases the inefficiency of data sharing and may disincentivize important clinical treatment and medical research. This paper provides a synthesis between 2 novel advanced privacy-enhancing technologies-homomorphic encryption and secure multiparty computation (defined together as multiparty homomorphic encryption). These privacy-enhancing technologies provide a mathematical guarantee of privacy, with multiparty homomorphic encryption providing a performance advantage over separately using homomorphic encryption or secure multiparty computation. We argue multiparty homomorphic encryption fulfills legal requirements for medical data sharing under the European Union's General Data Protection Regulation which has set a global benchmark for data protection. Specifically, the data processed and shared using multiparty homomorphic encryption can be considered anonymized data. We explain how multiparty homomorphic encryption can reduce the reliance upon customized contractual measures between institutions. The proposed approach can accelerate the pace of medical research while offering additional incentives for health care and research institutes to employ common data interoperability standards.

Identifiants

pubmed: 33629963
pii: v23i2e25120
doi: 10.2196/25120
pmc: PMC7952236
doi:

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e25120

Informations de copyright

©James Scheibner, Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza, Marcello Ienca, Jacques Fellay, Effy Vayena, Jean-Pierre Hubaux. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 25.02.2021.

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Auteurs

James Scheibner (J)

Health Ethics and Policy Laboratory, Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland.
College of Business, Government and Law, Flinders University, Adelaide, Australia.

Jean Louis Raisaro (JL)

Precision Medicine Unit, Lausanne University Hospital, Lausanne, Switzerland.
Data Science Group, Lausanne University Hospital, Lausanne, Switzerland.

Juan Ramón Troncoso-Pastoriza (JR)

Laboratory for Data Security, School of Computer and Communication Sciences, École polytechnique fédérale de Lausanne, Lausanne, Switzerland.

Marcello Ienca (M)

Health Ethics and Policy Laboratory, Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland.

Jacques Fellay (J)

Precision Medicine Unit, Lausanne University Hospital, Lausanne, Switzerland.
School of Life Sciences, École polytechnique fédérale de Lausanne, 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, Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland.

Jean-Pierre Hubaux (JP)

Laboratory for Data Security, School of Computer and Communication Sciences, École polytechnique fédérale de Lausanne, Lausanne, Switzerland.

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