TY - GEN
T1 - Using Blockchain for Incentive-Driven FHIR-based Health Record Exchange
AU - Rosar, Moritz
AU - Chuang, Kun Ta
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/4/8
Y1 - 2024/4/8
N2 - Medical data is highly sensitive data, and patients are particularly concerned about the exposure of their identities [1]. A study found that 64% of participants were agreeable to sharing their health data when anonymized, highlighting the importance of privacy in medical data sharing [5].
AB - Medical data is highly sensitive data, and patients are particularly concerned about the exposure of their identities [1]. A study found that 64% of participants were agreeable to sharing their health data when anonymized, highlighting the importance of privacy in medical data sharing [5].
UR - http://www.scopus.com/inward/record.url?scp=85197715854&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85197715854&partnerID=8YFLogxK
U2 - 10.1145/3605098.3636189
DO - 10.1145/3605098.3636189
M3 - Conference contribution
AN - SCOPUS:85197715854
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 298
EP - 299
BT - 39th Annual ACM Symposium on Applied Computing, SAC 2024
PB - Association for Computing Machinery
T2 - 39th Annual ACM Symposium on Applied Computing, SAC 2024
Y2 - 8 April 2024 through 12 April 2024
ER -