Design and Implementation of a Set-Top Box-Based Homecare System Using Hybrid Cloud.

Telemed J E Health

4 Department of Electrical Engineering, National Taipei University, New Taipei City, Taiwan .

Published: November 2015

Introduction: Telemedicine has become a prevalent topic in recent years, and several telemedicine systems have been proposed; however, such systems are an unsuitable fit for the daily requirements of users.

Materials And Methods: The system proposed in this study was developed as a set-top box integrated with the Android™ (Google, Mountain View, CA) operating system to provide a convenient and user-friendly interface. The proposed system can assist with family healthcare management, telemedicine service delivery, and information exchange among hospitals. To manage the system, a novel type of hybrid cloud architecture was also developed.

Results: Updated information is stored on a public cloud, enabling medical staff members to rapidly access information when diagnosing patients. In the long term, the stored data can be reduced to improve the efficiency of the database.

Conclusions: The proposed design offers a robust architecture for storing data in a homecare system and can thus resolve network overload and congestion resulting from accumulating data, which are inherent problems in centralized architectures, thereby improving system efficiency.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4649762PMC
http://dx.doi.org/10.1089/tmj.2014.0244DOI Listing

Publication Analysis

Top Keywords

homecare system
8
hybrid cloud
8
system
7
design implementation
4
implementation set-top
4
set-top box-based
4
box-based homecare
4
system hybrid
4
cloud introduction
4
introduction telemedicine
4

Similar Publications

Introduction: Glycated haemoglobin (HbA1c) is currently the gold standard for assessing glycaemic control in diabetes, given the established relationship with microvascular and macrovascular complications in this condition. However, HbA1c is affected by non-glycaemic factors, while also failing to provide data on hypoglycaemic exposure and glucose variability, which are associated with adverse vascular outcomes. Continuous glucose monitoring (CGM)-derived glucose metrics provide a more comprehensive assessment of glycaemia, but their role in predicting future vascular complications remains unclear.

View Article and Find Full Text PDF

Background: Homecare, a cornerstone of public health, is essential for health systems to achieve the Sustainable Development Goal (SDG) of universal health coverage while maintaining its own sustainability. Notwithstanding homecare's system-level significance, there is a lack of economic evaluations of homecare services in terms of their system-wide cost-savings. Specifically, decisions informed by a joint medical-social budgetary perspective can maximize the allocative efficiency of assigning a diverse service mix to address the complex needs of the older adult population.

View Article and Find Full Text PDF

Background: Cholera remains a major (and increasing) global public health problem. Goma, in the eastern Democratic Republic of Congo (DRC), has been a major cholera hotspot in Africa since 1994 and is currently experiencing one of the largest outbreaks in the world. This article contributes to the existing scholarship on cholera risk by utilizing a variety of qualitative research methods.

View Article and Find Full Text PDF

Background: In today's healthcare systems, older family caregivers who care for their spouses at home are indispensable providers of healthcare. However, many of these caregivers are at risk of becoming ill themselves. To prevent this and to guide the development of targeted healthcare services, home-care personnel need knowledge on how to promote the health of older family caregivers.

View Article and Find Full Text PDF

Objective: Most current wound size measurement devices or applications require manual wound tracing and reference markers. Chronic wound care usually relies on patients or caregivers who might have difficulties using these devices. Considering a more human-centered design, we propose an automatic wound size measurement system by combining three deep learning (DL) models and using fingernails as a reference.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!