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A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer

Sharing patient datasets curated by health institutions is critical for the advance of monitoring, surveillance and research. However, patient data is sensitive data and it can only be released under certain conditions and with previous explicit consent. Privacy preserving data sharing provides tech...

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Detalles Bibliográficos
Autores principales: Rodriguez-Garcia, Mercedes, Sicilia, Miguel-Angel, Dodero, Juan Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205266/
https://www.ncbi.nlm.nih.gov/pubmed/34179449
http://dx.doi.org/10.7717/peerj-cs.568
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author Rodriguez-Garcia, Mercedes
Sicilia, Miguel-Angel
Dodero, Juan Manuel
author_facet Rodriguez-Garcia, Mercedes
Sicilia, Miguel-Angel
Dodero, Juan Manuel
author_sort Rodriguez-Garcia, Mercedes
collection PubMed
description Sharing patient datasets curated by health institutions is critical for the advance of monitoring, surveillance and research. However, patient data is sensitive data and it can only be released under certain conditions and with previous explicit consent. Privacy preserving data sharing provides techniques to distribute datasets minimizing the risk of identification of patients. However, the sharing of datasets is typically done without considering the needs or requests of data consumers. Blockchain technologies provide an opportunity to gather those requests and share and assemble datasets using privacy-preserving methods as data and requirements on anonymity match. The architecture and design of such a solution is described, assuming an underlying permissioned blockchain network where providers such as healthcare institutions deal with consent, patient preferences and anonymity guarantees, playing a mediator role to a network of organizations.
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spelling pubmed-82052662021-06-24 A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer Rodriguez-Garcia, Mercedes Sicilia, Miguel-Angel Dodero, Juan Manuel PeerJ Comput Sci Bioinformatics Sharing patient datasets curated by health institutions is critical for the advance of monitoring, surveillance and research. However, patient data is sensitive data and it can only be released under certain conditions and with previous explicit consent. Privacy preserving data sharing provides techniques to distribute datasets minimizing the risk of identification of patients. However, the sharing of datasets is typically done without considering the needs or requests of data consumers. Blockchain technologies provide an opportunity to gather those requests and share and assemble datasets using privacy-preserving methods as data and requirements on anonymity match. The architecture and design of such a solution is described, assuming an underlying permissioned blockchain network where providers such as healthcare institutions deal with consent, patient preferences and anonymity guarantees, playing a mediator role to a network of organizations. PeerJ Inc. 2021-06-09 /pmc/articles/PMC8205266/ /pubmed/34179449 http://dx.doi.org/10.7717/peerj-cs.568 Text en ©2021 Rodriguez-Garcia et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Rodriguez-Garcia, Mercedes
Sicilia, Miguel-Angel
Dodero, Juan Manuel
A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer
title A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer
title_full A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer
title_fullStr A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer
title_full_unstemmed A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer
title_short A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer
title_sort privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and p2p secure transfer
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205266/
https://www.ncbi.nlm.nih.gov/pubmed/34179449
http://dx.doi.org/10.7717/peerj-cs.568
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