An optimized consortium blockchain for medical information sharing
M Du, Q Chen, J Chen, X Ma - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
M Du, Q Chen, J Chen, X Ma
IEEE Transactions on Engineering Management, 2020•ieeexplore.ieee.orgMedical information is private, and medical data are valuable for medical research. Thus,
medical information sharing is challenging because the data might be manipulated
improperly and revealed during the operational process. The accuracy and integrity of
medical information should be guaranteed throughout the sharing process. Medical
institutions require shared information for scientific research and development; however, the
issue of privacy inhibits the sharing process. In this article, we propose a new business …
medical information sharing is challenging because the data might be manipulated
improperly and revealed during the operational process. The accuracy and integrity of
medical information should be guaranteed throughout the sharing process. Medical
institutions require shared information for scientific research and development; however, the
issue of privacy inhibits the sharing process. In this article, we propose a new business …
Medical information is private, and medical data are valuable for medical research. Thus, medical information sharing is challenging because the data might be manipulated improperly and revealed during the operational process. The accuracy and integrity of medical information should be guaranteed throughout the sharing process. Medical institutions require shared information for scientific research and development; however, the issue of privacy inhibits the sharing process. In this article, we propose a new business process and a blockchain-based platform for medical information sharing. Our method exploits the advantages of blockchain in medical information recording and sharing. Information can be stored, shared, and credibly verified among parties in the distributed network. In addition, we propose a new consensus algorithm and a universal anonymous sharing model. These methods improve the efficiency and security of medical information sharing between users. In this way, both the information and the traces of the transaction can be stored in a distributed manner to prevent manipulation and fraud. Consequently, the value of medical information can be fully utilized.
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