Research on intelligent medical big data system based on Hadoop and blockchain

• Published in: EURASIP journal on wireless communications and networking Vol. 2021; no. 1; pp. 1 - 21
• Main Authors: Zhang, Xiangfeng, Wang, Yanmei
• Format: Journal Article
• Language: English
• Published: New York Springer Nature B.V 01.01.2021; SpringerOpen
• Subjects: Big Data; Block chain; Blockchain; Cryptography; Customization; Data centers; Data retrieval; Design; Hadoop; Health care facilities; Health data; Information systems; Management services; Medical personnel; Medical research; Personal health; Rehabilitation; Secure medical; Security; Synchronism
• ISSN: 1687-1472; 1687-1499
• DOI: 10.1186/s13638-020-01858-3

In order to improve the intelligence of the medical system, this paper designs and implements a secure medical big data ecosystem on top of the Hadoop big data platform. It is designed against the background of the increasingly serious trend of the current security medical big data ecosystem. In order to improve the efficiency of traditional medical rehabilitation activities and enable patients to maximize their understanding of their treatment status, this paper designs a personalized health information system that allows patient users to understand their treatment and rehabilitation status anytime and anywhere, and all medical health data distributed in different independent medical institutions to ensure that these data are stored independently. As a distributed accounting technology for multi-party maintenance and backup information security, blockchain is a good breakthrough point for innovation in medical data sharing. In this paper, the system realizes the personal health data centre on the Hadoop big data platform, and the original distributed data are stored and analyzed centrally through the data synchronization module and the independent data acquisition system. Utilizing the advantages of the Hadoop big data platform, the personalized health information system for stroke has designed to provide personalized health management services for patients and facilitate the management of patients by medical staff.