Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis
Objectives To systematically review the evidence base for a systems approach to healthcare
design, delivery or improvement. Design Systematic review with meta-analyses. Methods …
design, delivery or improvement. Design Systematic review with meta-analyses. Methods …
What is the nursing time and workload involved in taking and recording patients' vital signs? A systematic review
Aims and objectives To synthesise evidence regarding the time nurses take to monitor and
record vital signs observations and to calculate early warning scores. Background While the …
record vital signs observations and to calculate early warning scores. Background While the …
[HTML][HTML] How long do nursing staff take to measure and record patients' vital signs observations in hospital? A time-and-motion study
Introduction Monitoring vital signs in hospital is an important part of safe patient care.
However, there are no robust estimates of the workload it generates for nursing staff. This …
However, there are no robust estimates of the workload it generates for nursing staff. This …
Early diagnosis of cancer: systems approach to support clinicians in primary care
Early diagnosis of cancer: systems approach to support clinicians in primary care | The BMJ
Skip to main content Intended for healthcare professionals Access provided by Google Indexer …
Skip to main content Intended for healthcare professionals Access provided by Google Indexer …
IoT based real time health monitoring
V Yeri, DC Shubhangi - 2020 Second international conference …, 2020 - ieeexplore.ieee.org
Conventional sensor based diagnosis in medial field requires more number of sensors and
human efforts if it is processed in a large scale. It is a difficult task due to the shortage of …
human efforts if it is processed in a large scale. It is a difficult task due to the shortage of …
Cooperative DNN partitioning for accelerating DNN-empowered disease diagnosis via swarm reinforcement learning
As the most promising machine learning technology, deep neural networks (DNNs) have
garnered significant attention in the field of disease diagnosis, ie, DNN-empowered disease …
garnered significant attention in the field of disease diagnosis, ie, DNN-empowered disease …
An integrated wearable wireless vital signs biosensor for continuous inpatient monitoring
A compact, light-weight and low-power wireless vital signs monitoring system based on
Wireless Body Area Network (WBAN) protocol has been developed. The system, VySys …
Wireless Body Area Network (WBAN) protocol has been developed. The system, VySys …
Vital sign monitoring system for healthcare through IoT based personal service application
The most burning issues worldwide at present are the availability, accessibility, and
affordability of the equitable healthcare services for all. It is getting more severe for …
affordability of the equitable healthcare services for all. It is getting more severe for …
Indoor activity and vital sign monitoring for moving people with multiple radar data fusion
X Yang, X Zhang, Y Ding, L Zhang - Remote Sensing, 2021 - mdpi.com
The monitoring of human activity and vital signs plays a significant role in remote health-
care. Radar provides a non-contact monitoring approach without privacy and illumination …
care. Radar provides a non-contact monitoring approach without privacy and illumination …
Robust energy efficiency optimization algorithm for health monitoring system with wireless body area networks
The electronic health monitoring system, with wireless body area networks (WBANs), is a
new technological paradigm that helps early detection of any abnormal physiological signs …
new technological paradigm that helps early detection of any abnormal physiological signs …