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Citation

BibTex format

@article{Joshi:2019:10.1080/17434440.2019.1563480,
author = {Joshi, M and Ashrafian, H and Aufegger, L and Khan, S and Arora, S and Cooke, G and Darzi, A},
doi = {10.1080/17434440.2019.1563480},
journal = {Expert Review of Medical Devices},
pages = {145--154},
title = {Wearable sensors to improve detection of patient deterioration},
url = {http://dx.doi.org/10.1080/17434440.2019.1563480},
volume = {16},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - INTRODUCTION: Monitoring a patient's vital signs forms a basic component of care, enabling the identification of deteriorating patients and increasing the likelihood of improving patient outcomes. Several paper-based track and trigger warning scores have been developed to allow clinical evaluation of a patient and guidance on escalation protocols and frequency of monitoring. However, evidence suggests that patient deterioration on hospital wards is still missed, and that patients are still falling through the safety net. Wearable sensor technology is currently undergoing huge growth, and the development of new light-weight wireless wearable sensors has enabled multiple vital signs monitoring of ward patients continuously and in real time. Areas covered: In this paper, we aim to closely examine the benefits of wearable monitoring applications that measure multiple vital signs; in the context of improving healthcare and delivery. A review of the literature was performed. Expert commentary: Findings suggest that several sensor designs are available with the potential to improve patient safety for both hospital patients and those at home. Larger clinical trials are required to ensure both diagnostic accuracy and usability.
AU - Joshi,M
AU - Ashrafian,H
AU - Aufegger,L
AU - Khan,S
AU - Arora,S
AU - Cooke,G
AU - Darzi,A
DO - 10.1080/17434440.2019.1563480
EP - 154
PY - 2019///
SN - 1743-4440
SP - 145
TI - Wearable sensors to improve detection of patient deterioration
T2 - Expert Review of Medical Devices
UR - http://dx.doi.org/10.1080/17434440.2019.1563480
UR - https://www.ncbi.nlm.nih.gov/pubmed/30580650
UR - http://hdl.handle.net/10044/1/65464
VL - 16
ER -