RT journal article
T1 A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer
A1 Rodríguez García, María Mercedes
A1 Sicilia, Miguel Ángel
A1 Dodero Beardo, Juan Manuel
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
A2 Ingeniería Informática
K1 Health information exchange
K1 Data privacy
K1 Blockchain
K1 Smart contract
AB 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.
PB PEERJ INC
SN 2376-5992
YR 2021
FD 2021-06
LK http://hdl.handle.net/10498/25321
UL http://hdl.handle.net/10498/25321
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 08-nov-2026