TY - GEN
T1 - Learning health systems
T2 - 34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021
AU - Ecarot, Thibaud
AU - Fraikin, Benoit
AU - Lavoie, Luc
AU - McGilchrist, Mark
AU - Ethier, Jean Francois
N1 - Funding Information:
We are grateful to all the contributors for revising the model and the analysis. Last but not least, we would like to acknowledge the support from the Unité de Soutien SRAP du Québec and Health Data Research Network Canada with the Canadian Data Platform.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/12
Y1 - 2021/7/12
N2 - Learning Healthcare Systems are an emerging approach to healthcare research as translated into practice. For this purpose, a strong interconnection comes to be a necessity when dealing with healthcare services, research and knowledge transfer all at once. Practically, these connections imply that a routing protocol should guarantee anonymity to entities in compliance with both laws and ethical requirements while restricting the quantity of information obtainable had an entity been compromised. In order to bring more protection and meet all the requirements, a new message routing protocol is offered to allow the use of data access paths and to resist traffic analysis security threats. The protocol protects the addresses and roles pertaining to entities from any lurking malevolent minds by implementing proxies into a mix-network. Moreover, flows of synthetic datasets and contents identifiers are handled separately so as to curb any risk of re-identification. A model of this protocol is provided in the form of a multi-objective optimization problem, natively integrating objectives of minimizing both latency and entropy of the information exchanged. The assessment of this model shows that the constrained separation of data flows has a minimal impact on delay times, which not only reveals to be an acceptable compromise but also significantly increases security in data access.
AB - Learning Healthcare Systems are an emerging approach to healthcare research as translated into practice. For this purpose, a strong interconnection comes to be a necessity when dealing with healthcare services, research and knowledge transfer all at once. Practically, these connections imply that a routing protocol should guarantee anonymity to entities in compliance with both laws and ethical requirements while restricting the quantity of information obtainable had an entity been compromised. In order to bring more protection and meet all the requirements, a new message routing protocol is offered to allow the use of data access paths and to resist traffic analysis security threats. The protocol protects the addresses and roles pertaining to entities from any lurking malevolent minds by implementing proxies into a mix-network. Moreover, flows of synthetic datasets and contents identifiers are handled separately so as to curb any risk of re-identification. A model of this protocol is provided in the form of a multi-objective optimization problem, natively integrating objectives of minimizing both latency and entropy of the information exchanged. The assessment of this model shows that the constrained separation of data flows has a minimal impact on delay times, which not only reveals to be an acceptable compromise but also significantly increases security in data access.
KW - E-health
KW - Privacy
KW - Protocols
KW - Routing Protocol
KW - Secure Data Access
UR - http://www.scopus.com/inward/record.url?scp=85110910036&partnerID=8YFLogxK
U2 - 10.1109/CBMS52027.2021.00038
DO - 10.1109/CBMS52027.2021.00038
M3 - Conference contribution
AN - SCOPUS:85110910036
SN - 9781665431071
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 562
EP - 567
BT - Proceedings - 2021 IEEE 34th International Symposium on Computer-Based Medical Systems, CBMS 2021
A2 - Almeida, Joao Rafael
A2 - Gonzalez, Alejandro Rodriguez
A2 - Shen, Linlin
A2 - Kane, Bridget
A2 - Traina, Agma
A2 - Soda, Paolo
A2 - Oliveira, Jose Luis
PB - IEEE
Y2 - 7 June 2021 through 9 June 2021
ER -