Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2–4, 2023, Nanchang, China

Research Article

Research on Management and Monitoring of Intelligent Medical Data Platform Construction under Cloud Computing

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  • @INPROCEEDINGS{10.4108/eai.2-6-2023.2334629,
        author={Yicai  Li and Yehong  Li},
        title={Research on Management and Monitoring of Intelligent Medical Data Platform Construction under Cloud Computing},
        proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2023},
        month={8},
        keywords={cloud computing; wisdom; medical data; construction management},
        doi={10.4108/eai.2-6-2023.2334629}
    }
    
  • Yicai Li
    Yehong Li
    Year: 2023
    Research on Management and Monitoring of Intelligent Medical Data Platform Construction under Cloud Computing
    ICIDC
    EAI
    DOI: 10.4108/eai.2-6-2023.2334629
Yicai Li1, Yehong Li1,*
  • 1: Guangdong Food and Drug Vocational College
*Contact email: lyh7418142869993@163.com

Abstract

In order to improve the medical efficiency and the accuracy of disease prediction, this paper studies the construction and management of medical data in cloud computing environment. Mainly from the access expansion model and password protection mechanism, this paper mainly analyzes the platform construction and management of medical data in cloud environment from the access control model and encryption mechanism. These technologies have solved the problems of dynamic data access, fine-grained access control and step-by-step authorization according to patients' preferences in special medical scenarios. Access control can indeed prevent unauthorized users from obtaining data L23 intentionally or unintentionally to a certain extent. However, the current access control technology of medical data is mostly in the research stage, and it is not fully integrated with medical institutions or systems to prevent data leakage or theft. In the past two years, 90% of medical companies have been hacked and leaked patient data.