Journal
PEERJ COMPUTER SCIENCE
Volume -, Issue -, Pages -Publisher
PEERJ INC
DOI: 10.7717/peerj-cs.568
Keywords
Health information exchange; Data privacy; Blockchain; Smart contract
Categories
Funding
- VISAIGLE project from the Spanish National Research Agency (AEI) [TIN2017-85797-R]
- ERDF funds
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Sharing patient datasets curated by health institutions is critical for monitoring, surveillance and research, but privacy preserving data sharing techniques can minimize the risk of identification of patients. Blockchain technologies provide an opportunity to gather data consumers' requests and share and assemble datasets using privacy-preserving methods.
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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