Managing dynamic medical data in a distributed mode

In telemedicine applications, it is necessary to archive and query some dynamic data of remote objects. Because the data is dynamic and usually of a huge amount, if we use the market available database server directly, it is difficult to archive dynamic data, and the huge amount of data makes communication very crowded. To solve this problem, we present a distributed management method which uses file servers and database servers to manage data objects and database tables respectively, and connect them with links in the records of the tables. Based on this mode, we design an archiving application running on the file server to archive dynamic data. After the dynamic data are archived, they can be queried as static data. To search a data object, an application queries the database server for contents of the data objects, and gets the link of the data object, then the application gets the data object from file server. For other applications, a transforming application protocol to support access of database in HL7 protocol has been designed. The results indicate that the proposed mode can simplify data management and improve communication condition