A preliminary study on network traffic estimation in using EPR with thin-client computing over wide area network.

With the remarkable advantages of thin-client computing (TCC) on security enhancement and cost reduction, the TCC architecture seemed appropriate for EPR utilization in cross-border e-health systems. The advantage in less consumed network bandwidth, however, still remains quantitatively unidentified at present. This study aimed to estimate the network traffic required in using EPR on WAN environments through the comparison of TCC and server-client (SC) models The results indicated that one of representative TCC applications required much less network bandwidth than the conventional SC model.

Scenario-based stress testing of an electronic patient record system in a thin-client computing implementation.

Implementation of thin-client computing (TCC) generally requires an elaborate process of determining appropriate specifications of the centralized servers (server sizing). This study aimed to assess the usefulness of the server sizing methods with eight scenarios based on practical usage of an electronic patient record. Actual data obtained from a hospital, where TCC was introduced based on the methods of the study, showed that the stress testing of one of server sizing methods contributed to steady operation of the system, while the scenarios should be improved to reflect more practical workflow in real settings to achieve more precise estimation of the centralized server performance in TCC.