scholarly journals Smart saline level monitoring system using IOT

2018 ◽  
Vol 7 (2.7) ◽  
pp. 817
Author(s):  
B Naga Malleswari ◽  
P Vijay varma ◽  
Dr N.Venkataram
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Cloud Platform ◽  
Tilt Sensor ◽  
Health Care Centers ◽  
Level Monitoring

This paper relates with the saline level of a patient through remote technology in health care centers to monitor patient’s data constantly. If the patient is sick firstly we should give a saline to patient. When the bottle is placed to patient we should check frequently the level of bottle. It is difficult to check all the time, so we transmit data through thing speak cloud platform to nurse cabin. We can receive the data by indication of bottle level. While setting a tilt sensor near the patient, we may know the patient is in conditional stage or in any Unconditional stage. The system will continuously monitors the patient’s data by this doctor can also monitor many patients at a time.                                                                                                                                                                                          

scholarly journals IoT Based Electrolyte level Monitoring System

2020 ◽  
Vol 9 (8) ◽  
pp. 596-601
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Critical Level ◽  
Initial Level ◽  
Patient Needs ◽  
Control Room ◽  
Current Health ◽  
Electrolyte Level ◽  
Load Sensor ◽  
Level Monitoring

In hospitals, Electrolyte is fed to patients in many ways. One of the important functions is in the form of saline to treat dehydration and thus improve their health. In current health care measures, whenever a saline is fed to any patient, the patient needs to be continuously monitored by a nurse or any caretaker. Monitoring the Saline level in a bottle attached to a patients’ body is one of the most important tasks for a Nurse/caretaker. In cases involving ignorance or carelessness, the bottle may get empty and blood can start flowing reverse into the bottle from patients’ body. This is a risky situation and needs a better solution. We are developing an IoT based bottle level monitoring system that will detect the saline bottle level at all instances and will send an alert to the hospital's control room in case the bottle reaches it's critical level(30% of initial level) and if there is no response and the level goes beyond 20% on initial level, we stop the flow. We are using ESP8266 Wi-Fi module for processing and communication and load sensor for detecting the bottle weight. The proposed system is not electrolyte specific and can monitor any fluid. A Dc Motor controlled- screw actuated clamp mechanism is used for stopping the flow

Health Care Monitoring System

2019 ◽  
Vol 7 (9) ◽  
pp. 44-48
Author(s):  
Rahul Pawar ◽  
M.M. Sardeshmukh ◽  
Sagar Shinde
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Health Care Monitoring

Review on Health Care Monitoring System

2019 ◽  
Vol 7 (6) ◽  
pp. 1114-1117
Author(s):  
Rahul Pawar ◽  
M.M. Sardeshmukh ◽  
Sagar Shinde
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Health Care Monitoring

Antibiotics Prescription Patterns in Primary Health Care in Qatar – A Population based study from 2017 to 2018

2020 ◽  
Author(s):  
Hanan Khudadad ◽  
Lukman Thalib
Keyword(s):  
Health Care ◽  
Antibiotic Resistance ◽  
Primary Health Care ◽  
Respiratory System ◽  
Population Based ◽  
Antibiotics Resistance ◽  
Prescription Patterns ◽  
Primary Health ◽  
Primary Health Care Centers ◽  
Health Care Centers

Background: Antibiotics are antimicrobial drugs used in the treatment and prevention of bacterial infections. They played a pivotal role in achieving major advances in medicine and surgery (1). Yet, due to increased and inappropriate use of antibiotics, antibiotic resistance (AR) has become a growing public health problem. Information on antibiotic prescription patterns are vital in developing a constructive approach to deal with growing antibiotic resistance (2). The study aims to describe the population based antibiotic prescriptions among patients attending primary care centers in Qatar. Methodology: A population based observational study of all medications prescribed in the all Primary Health Care Centers during the period of 2017-2018 in Qatar. Records with all medication prescriptions were extracted and linked to medical diagnosis. Antibiotics prescriptions records were compared to non- antibiotics records using logistic regression model in identifying the potential predictors for antibiotic prescriptions. Results: A total of 11,069,439 medication prescriptions given over a period of two-years, we found about 12.1% (n= 726,667) antibiotics prescriptions were antibiotics, and 65% of antibiotics are prescribed and received by the patients at the first visits. Paracetamol (22.3%) was the first highest medication prescribed followed by antibiotics (12.1 %) and vitamin D2 (10.2 %). More than half of all antibiotics prescribed during the period of January 2017 to December 2018 were Penicillin (56.9%). We found that half of the antibiotics (49.3 %) have been prescribed for the respiratory system comparing to the other body system. We found that males were 29% more likely be given an antibiotic compared to females (OR=1.29, 95% CI= 1.24- 1.33). Implications: The study provides a baseline data to enable PHCC management to design effective intervention program to address the problem of antibiotics resistance. Furthermore, it will help the policymakers to comprehend the size of the issue and develop a system to manage the antibiotics therapy. Conclusion: Antibiotics was the second highest medication prescribed in the Primary Health Care Centers in Qatar after paracetamol and most of the patients received it at the first visit. Most of the prescriptions in Primary Health Care Centers in Qatar were for the respiratory system, and Penicillin was the highest class prescribed. Male visitors were prescribed antibiotics more than female visitors.

Opportunistic infections among people living with HIV at reference health care centers in Morocco, 2015 (Preprint)

2019 ◽  
Author(s):  
Noureddine Sakhri ◽  
Fatima Zahra Meski ◽  
SOUMIA TRIKI
Keyword(s):  
Health Care ◽  
Opportunistic Infections ◽  
Oral Candidiasis ◽  
Clinical Stage ◽  
Bivariate Analysis ◽  
People Living With Hiv ◽  
Cross Sectional Survey ◽  
Pneumocystis Jiroveci ◽  
Cross Sectional ◽  
Health Care Centers

BACKGROUND Morbidity and mortality in HIV disease is due to immune-suppression leading to life-threatening opportunistic infections (OIs) during the natural course of the disease. In 2015, the HIV prevalence is low in general population and concentrated among key populations. OBJECTIVE This study aimed to assess the prevalence and CD4 correlates of OIs among adult HIV-infected patients attending antiretroviral health care in Morocco, during 2015. METHODS We conducted a cross-sectional survey among all adult PLHIV for admitted in the health care centers during 2015, who had acquired infection disease. Patients’ opportunistic infection status was determined through clinical diagnosis and laboratory investigations. CD4 count was determined using flow cytometry technique. The clinical stage of HIV was identified by the classification of Centers for Disease Control and Prevention (CDC). We collected Socio-demographic and clinical data from patients’ medical records. We performed statistical analysis by using Epi-Info 7.2.0.1 software. The appropriate test was applied, bivariate analysis was made and the differences were significant when p<.05. RESULTS 299 HIV-infected cases were included; 53% were males. The most represented age group was 25-34 years (36.1%). The mean age of the cases was 38.7 ± 16.8. The prevalence of OIs was 47.8%. Tuberculosis (65/299, 21.7%), Pneumocystis jiroveci pneumonia (40/299, 13.4%) and Oral candidiasis (22/299, 7.4%) were the most frequently observed OIs. CONCLUSIONS Tuberculosis, pneumocystis and oral candidacies were the leading OIs, encountered by HIV-infected cases. Preventive measures and early diagnosis of HIV associated to OIs are crucial.

scholarly journals Cloud based smart wireless and health care monitoring system

2021 ◽  
Vol 1059 (1) ◽  
pp. 012035
Author(s):  
S Nithya Priya ◽  
M Ranjith Kumar ◽  
N Nibin Sabari Anand
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Health Care Monitoring

scholarly journals Herbal medicine use and its associated factors in the region of Sousse (Tunisia)

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Limam ◽  
J Sahli ◽  
I Khalfallah ◽  
M Mellouli ◽  
M Ghardallou ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Herbal Medicine ◽  
Medicinal Plants ◽  
Associated Factors ◽  
Medicine Use ◽  
Toxic Dose ◽  
Primary Health ◽  
Primary Health Care Centers ◽  
Health Care Centers

Abstract Background Patients use medicinal plants as the first-line treatment for many chronic and acute medical conditions. The lack of access to conventional health care, historical, cultural and economic considerations contributes to the important use of these plants. The purpose was to identify medicinal plants used by primary Health Care Centers' visitors in the region of Sousse (Tunisia) and to assess its associated factors. Methods A cross-sectional descriptive study was conducted among Primary health care centers' visitors of the region of Sousse (Tunisia) in 2018. We randomly selected 18 primary health centers and 50 participants were chosen from each center. Data were collected using a pre-tested questionnaire, filled through a direct interview with participants which explores: socio-demographic variables and medicinal plants' use (name of plants, symptoms, methods of preparation, routes of administration, plant source, tolerance and side effects). Results 900 persons were included with a female predominance (72.4%). The median age of participants was 48 years ranging from 18 to 93. 65.2% (n = 587) of them report using medicinal plants to heal. The most common sources of information were family (90.5%), beliefs and traditions (56.4%). Fifty-three (53) plants were used to treat different disorders. The most used plants are: verbena (81.6%), rosemary (53.3%), mint (52%) and thyme (45.1%). The most reported treated symptoms were: flu and gastro-intestinal disorders. Plants utilization was associated to: lower age, female gender, marital status, high level of education and social existence of protection coverage. Conclusions Plants use should be based on well-conducted scientific results specifying the mechanism of action of plants, the therapeutic and toxic dose through researches on local plants samples and extracts. Key messages It seems essential to train health professionals on herbal therapy during their studies and practice. The further step after this picture of the herbal medicine use in the Region of Sousse, is to evaluate the safety and the efficacy of their use.

Sign in / Sign up

Export Citation Format

Share Document