LAUSR

Electronic Medical Records (EMR) can facilitate information publishing and sharing among doctors, hospitals, and academic researchers in a smart healthcare system. Since the personalized attributes in EMRs can be tempered by attackers or accessed by unauthorized users for malicious purposes. We construct an individual-centric privacy-preserved EMR information publishing and sharing system. First, we design an intelligent matching model using utility functions to quantitatively evaluate privacy elements and compute maximum benefits between transaction participants, i.e., EMRs publishers and EMRs requesters. After that, we classify the personalized attributes of EMRs according to healthcare applications and design a blockchain-enabled privacy-preserved framework to protect the attributes during the lifetime of data publishing and sharing. We design multiple smart contracts deployed on the blockchain framework to guarantee the identity anonymous, dynamic access control, and tracebility of transactions in a smart healthcare system. Finally, we develop a prototype system and test our approach using 100,000 EMRs. The experimental results show that the proposed privacy-preserved scheme can make stable matching and security transactions between publishers and requesters.