Vital signs measurements & development for e-health care application

2022 ◽  
Author(s):  
R. Shamini ◽  
K. Paul Joshua ◽  
N. Nithya ◽  
P. Sivakamasundari ◽  
M. Revathi ◽  
...  
Keyword(s):  
Health Care ◽  
Vital Signs ◽  
Health Care Application

scholarly journals Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review

10.2196/18636 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e18636 ◽  
Author(s):  
Jobbe P L Leenen ◽  
Crista Leerentveld ◽  
Joris D van Dijk ◽  
Henderik L van Westreenen ◽  
Lisette Schoonhoven ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Clinical Outcomes ◽  
Health Care Professionals ◽  
Continuous Monitoring ◽  
Vital Signs ◽  
Current Evidence ◽  
Cochrane Central Register ◽  
Wireless Devices

Background Continuous monitoring of vital signs by using wearable wireless devices may allow for timely detection of clinical deterioration in patients in general wards in comparison to detection by standard intermittent vital signs measurements. A large number of studies on many different wearable devices have been reported in recent years, but a systematic review is not yet available to date. Objective The aim of this study was to provide a systematic review for health care professionals regarding the current evidence about the validation, feasibility, clinical outcomes, and costs of wearable wireless devices for continuous monitoring of vital signs. Methods A systematic and comprehensive search was performed using PubMed/MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials from January 2009 to September 2019 for studies that evaluated wearable wireless devices for continuous monitoring of vital signs in adults. Outcomes were structured by validation, feasibility, clinical outcomes, and costs. Risk of bias was determined by using the Mixed Methods Appraisal Tool, quality assessment of diagnostic accuracy studies 2nd edition, or quality of health economic studies tool. Results In this review, 27 studies evaluating 13 different wearable wireless devices were included. These studies predominantly evaluated the validation or the feasibility outcomes of these devices. Only a few studies reported the clinical outcomes with these devices and they did not report a significantly better clinical outcome than the standard tools used for measuring vital signs. Cost outcomes were not reported in any study. The quality of the included studies was predominantly rated as low or moderate. Conclusions Wearable wireless continuous monitoring devices are mostly still in the clinical validation and feasibility testing phases. To date, there are no high quality large well-controlled studies of wearable wireless devices available that show a significant clinical benefit or cost-effectiveness. Such studies are needed to help health care professionals and administrators in their decision making regarding implementation of these devices on a large scale in clinical practice or in-home monitoring.

scholarly journals Methodological Development of Mathematical Modeling Techniques in Health Care

2020 ◽  
Vol 9 (3) ◽  
pp. 3339-3342
Keyword(s):  
Mathematical Modeling ◽  
Health Care ◽  
Decision Making ◽  
Health Economics ◽  
Service Planning ◽  
Optimal Decision ◽  
Optimal Decision Making ◽  
The Individual ◽  
Specific Modeling ◽  
Health Care Application

The advancement of mathematical model has utilized for simulating the output of medical is a development area over medicine whereas the modeling can be mentioned with several activities namely simulation or decision analysis and predictive modeling. However, the traditional modeling technique utilized in planning of health service, assessment reports and its efficiency, financing about health care and assessment in budget impact, assessment in health economics, surveillance of infectious disease and other health care application. Therefore, the mathematical modelling is performed as a frequent and timely benefit in order to make rapid decision making while facing investigation with several issues like time elapsing, unusual and unethical particularly projected for future. This paper focused in applying the mathematical modeling to accomplish an optimal decision making in healthcare whereas this study discuss about the specific modeling concepts namely decision tree and fuzzified rule tables on evaluation of health economics and better service planning that my replicate the individual experience or patients cohorts.

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