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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8205266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
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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