Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 31, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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

Kei Teramoto¹, Shigeki Kuwata, Masaki Mochida

¹Tottori University, Tottori, Japan.

Studies in Health Technology and Informatics

|June 21, 2011

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

The Warburg effect provides attributes that facilitate tumor-cell resistance.

Histology and histopathology·2026

Same author

Embedded Shared EHR in Web Referrals: Early Outcomes from the Yonago City Healthcare Platform.

Studies in health technology and informatics·2026

Same author

Peripheral Insulin Resistance and Alzheimer's Disease: Possible Mediators Including Extracellular Vesicles.

Geriatrics & gerontology international·2026

Same author

Machine-Learning-Guided Discovery of CH<sub>4</sub> Combustion Catalysts Operating in the Presence of SO<sub>2</sub>.

Journal of the American Chemical Society·2026

Same author

Reevaluating the senolytic activity of a GLS1 inhibitor and an anti-PD-1 antibody: toward greater reproducibility and methodological rigor.

EMBO reports·2026

Same author

The metabolites for muscle and osteoclast activity are indicators of femoral neck osteoporosis.

Scientific reports·2026

Thin-client computing (TCC) significantly reduces network bandwidth for electronic patient records (EPR) in cross-border e-health systems compared to traditional server-client models. This optimization is crucial for efficient global healthcare data exchange.

Area of Science:

Health Informatics
Computer Networking
Telemedicine

Background:

Electronic Patient Records (EPR) are vital for cross-border e-health.
Thin-Client Computing (TCC) offers security and cost benefits.
Quantitative data on TCC's network bandwidth usage for EPR is lacking.

Purpose of the Study:

To estimate and compare network traffic for EPR utilization in Wide Area Network (WAN) environments.
To evaluate the bandwidth efficiency of TCC versus traditional Server-Client (SC) models for e-health applications.

Main Methods:

Comparative analysis of TCC and SC architectures.
Simulation or measurement of network bandwidth consumption for representative EPR applications.
Focus on WAN environments for cross-border e-health scenarios.

Related Experiment Videos

Last Updated: May 31, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Main Results:

A representative TCC application demonstrated substantially lower network bandwidth requirements compared to the conventional SC model.
TCC offers significant network bandwidth savings for EPR in WAN settings.

Conclusions:

TCC is a viable and bandwidth-efficient architecture for cross-border e-health systems utilizing EPR.
Further research should validate scenarios and explore combined application impacts on bandwidth estimation.