DocumentCode
2095985
Title
Asynchronous Data Replication: A National Integration Strategy for Databases on Telemedicine Network
Author
de Macedo, Douglas D. J. ; Perantunes, Hilton W G ; Andrade, Rafael ; von Wangenheim, Aldo ; Dantas, M.A.R.
Author_Institution
Programa de Pos-Graduaodo em Eng. e Gestdo do Conhecimento, Univ. Fed. de Santa Catarina, Florianopolis, Brazil
fYear
2008
fDate
17-19 June 2008
Firstpage
638
Lastpage
643
Abstract
Telemedicine systems currently have increased the volume of information stored in their databases. A centralized telemedicine system project covers datasets that ranges from personal patient´s information, physicians and institutions to all images of examinations performed. As they store large amounts of examinations, the medical databases can reach several terabytes of volume. This paper presents a contribution characterized by an asynchronous replication model for medical distributed databases. The model, called postgresreplication, is an extension to the relational database postgreSQL. In our experiment, an engine has been created to manage all integration operations and information replication for the medical databases. The early results indicate that the model and its implementation have successfully reached a good performance level and interoperability.
Keywords
distributed databases; medical information systems; relational databases; telemedicine; asynchronous data replication; medical distributed databases; national integration strategy; personal patient information; postgresreplication; relational database postgreSQL; telemedicine network database; Biomedical imaging; Computed tomography; Hemodynamics; Hospitals; Image databases; Medical diagnostic imaging; Picture archiving and communication systems; Portals; Relational databases; Telemedicine; Data Replication; Distributed Databases; Telemedicine Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
Conference_Location
Jyvaskyla
ISSN
1063-7125
Print_ISBN
978-0-7695-3165-6
Type
conf
DOI
10.1109/CBMS.2008.76
Filename
4562073
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