DocumentCode
711920
Title
Chronic Disease Management System Design Based on Cloud Storage Architecture
Author
Yongqiu Tu ; Yishuan Huang ; Faling Yi
Author_Institution
Dept. of Med. Inf. Eng., Guangdong Pharm. Univ., Guangzhou, China
fYear
2015
fDate
24-26 April 2015
Firstpage
654
Lastpage
658
Abstract
Traditional Chinese medical (TCM) management system for chronic disease is designed based on distributed storage architecture. The system composed of three modules, namely, medical records collection module, information storage and processing module, and chronic disease education module. Among them, the patient information recorded in the collection module may come from three different information collection devices: computer, image acquisition, and cell-phone. Cloud storage technology is applied to integrate these records to a comprehensive chronic disease information management database. In the information processing module, statistical analysis, early warning assessment and patient guidance algorithms are designed for implementing active medical service, treatment program management, real-time monitoring and other functions. The chronic disease education module is a website, which provide chronic disease health knowledge to patient and help them achieve self-management.
Keywords
Web sites; biomedical education; cloud computing; diseases; information retrieval systems; medical information systems; statistical analysis; storage management; TCM management system; Traditional Chinese medical management system; active medical service; chronic disease education module; chronic disease health knowledge; chronic disease information management database; chronic disease management system design; cloud storage architecture; cloud storage technology; distributed storage architecture; early warning assessment; early warning assessment algorithms; information processing module; information storage module; medical record collection module; patient guidance algorithms; real-time monitoring; statistical analysis; treatment program management; Cloud computing; Data mining; Diseases; Medical diagnostic imaging; Mobile communication; Traditional Chinese Medicine; chronic disease management system; cloud storage architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-6849-0
Type
conf
DOI
10.1109/ICISCE.2015.151
Filename
7120691
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