Online Patient Communication Model Based on Blockchain
Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (11): 28-35.doi: 10.11896/jsjkx.210400240

• Blockchain Technology • Previous Articles     Next Articles

Online Patient Communication Model Based on Blockchain

CHEN Xian-lai1,2, ZHAO Xiao-yu3, ZENG Gong-mian3, AN Ying1,2   

  1. 1 Big Data Institute,Central South University,Changsha 410083,China
    2 National Engineering Laboratory for Medical Big Data Application Technology,Central South University,Changsha 410083,China
    3 Life Science College,Central South University,Changsha 410083,China
  • Received:2021-04-22 Revised:2021-08-04 Online:2021-11-15 Published:2021-11-10
  • About author:CHEN Xian-lai,born in 1970,Ph.D,professor,Ph.D supervisor.His main research interests include medical data mining and decision support system,and medical big data.
    AN Ying,born in 1980,Ph.D,associate professor,master instructor.His main research interests include medical big data analysis,machine learning and its applications.
  • Supported by:
    National Key R & D Program of China (2016YFC0901705).

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Abstract: At present,false information is prevalent on the Internet,and the authenticity of shared information cannot be guaranteed when patients communicate on the Internet.In order to solve this problem,a blockchain-based online patient communication model is proposed,and patients can anonymously share real medical data and communicate with other patients.Firstly,the patient's digital identity is used to protect privacy,the medical summary data needed for patient communication are uploded to the blockchain and published all the data for retrieval,and it allows patients to retrieve the required cases without locating a specific patient.Secondly,in order to avoid malicious uploading by authorized personnel,smart contracts are used to perform multiple authentication on data upload,and doctors and patients restrict each other to ensure that all the data on the blockchain is true and reliable.Finally,the improved RAFT consensus algorithm can quickly identify Byzantine nodes so as to better achieve consensus on the blockchain.The performance of the model is evaluated through experiments,and the results show that the medical data could be shared,and meet the needs of patients for online communication under the premise of ensuring patient privacy.

Key words: Blockchain, Consensus mechanism, Medical data sharing, Patient communication, Smart contract

CLC Number: 

  • TP311.13
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