Health Status and Health Monitoring

2010 ◽  
pp. 251-305 ◽  
Author(s):  
Axel Hansen
Keyword(s):  
Health Status ◽  
Health Monitoring

scholarly journals Completed Audit of Physical Health Status of Patients with Severe Mental Illness in a Medium Secure Forensic Psychiatric Rehab Ward

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
M. George ◽  
P. Thakkar ◽  
K. Vasudev ◽  
N. Mitcheson
Keyword(s):  
Health Status ◽  
Physical Health ◽  
Health Monitoring ◽  
Smoking Status ◽  
Physical Health Status ◽  
Medication Regimen ◽  
National Guidelines ◽  
Blood Lipid Profile ◽  
Cholesterol Ratio ◽  
Image Position

Aim:An audit was conducted in September 2006 to determine whether the Physical health monitoring of patients on anti-psychotic medication was concurrent with the national guidelines.This audit done in Dec 07 aimed to ascertain to what extent the recommendations were implemented and followed, thereby completing the audit cycle.Methods:The Audit was conducted in a 15 bedded medium secure forensic rehab ward.As there was a lack of recording of the physical health status a monitoring sheet was introduced in the notes after the first audit. Age, Weight, Height, Smoking status, Blood Pressure, Diabetic Status, Blood Lipid Profile, ECG and the Medication regimen were noted for each of the patient.Results:Conclusion:100% physical health monitoring was achieved and improvements in weight, CV risk, Total/HDL cholesterol ratio was noted 4 cases of significant QT prolongation and another 3 cases of prolactin elevation were detected because of the introduction of monitoring.

scholarly journals Traffic sensor health monitoring using spatiotemporal graphical modeling

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Linjiang Wu ◽  
Chao Liu ◽  
Tingting Huang ◽  
Anuj Sharma ◽  
Soumik Sarkar
Keyword(s):  
Health Status ◽  
Real Time ◽  
Sensor Network ◽  
Health Monitoring ◽  
Series Data ◽  
Spatiotemporal Pattern ◽  
Graphical Modeling ◽  
Traffic Sensors ◽  
Wide Range ◽  
Sensor Health

Accurate traffic sensor data is essential for traffic operation management systems and acquisition of real-time traffic surveillance data depends heavily on the reliability of the traffic sensors (e.g., wide range detector, automatic traffic recorder). Therefore, detecting the health status of the sensors in a traffic sensor network is critical for the departments of transportation as well as other public and private entities, especially in the circumstances where real-time decision is required. With the purpose of efficiently determining the sensor health status and identifying the failed sensor(s) in a timely manner, this paper proposes a graphical modeling approach called spatiotemporal pattern network (STPN). Traffic speed and volume measurement sensors are used in this paper to formulate and analyze the proposed sensor health monitoring system and historical time-series data from a network of traffic sensors on the Interstate 35 (I-35) within the state of Iowa is used for validation. Based on the validation results, we demonstrate that the proposed approach can: (i) extract spatiotemporal dependencies among the different sensors which leads to an efficient graphical representation of the sensor network in the information space, and (ii) distinguish and quantify a sensor issue by leveraging the extracted spatiotemporal relationship of the candidate sensor(s) to the other sensors in the network.

scholarly journals Health Monitoring and Tracking System for Soldiers Using Internet of Things (IoT)

2021 ◽  
pp. 58-65
Author(s):  
V. Annapoorani ◽  
P. Rathna ◽  
C. Priyanka ◽  
B. Maheshwari ◽  
E. Leela
Keyword(s):  
Health Status ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Tracking System ◽  
Human Life ◽  
Low Cost ◽  
Control Room ◽  
Current Location ◽  
Internet Of Thing

The paper reports an Internet of Thing (IoT) based health monitoring and tracking system for soldiers. The proposed system can be mounted on the soldier’s body to track their health status and current location using GPS. These information will be transmitted to the control room through IoT. The proposed system comprise of tiny wearable physiological equipment’s, sensors, transmission modules. Hence, with the use of the proposed equipment, it is possible to implement a low cost mechanism to protect the valuable human life on the battlefield

scholarly journals Aplikasi e-Health Berbasis Teknologi Smartphone dalam Monitoring Klien di Komunitas: Studi Literatur

2020 ◽  
Vol 11 (2) ◽  
pp. 120
Author(s):  
Rohayati Rohayati
Keyword(s):  
Health Status ◽  
Health Monitoring ◽  
Health Workers ◽  
Personal Health Record ◽  
Personal Health Records ◽  
The Internet ◽  
Personal Health ◽  
Health Record ◽  
Health Records ◽  
Mobile Health Monitoring

The e-health is information technology in the health systems that can be used by both health workers and clients. Ehealth applications can be based on computers, the internet or smartphones. This study aims to discuss the types of e-health that can be used for health monitoring using smartphones in community setting. Data collection was carried out through electronic database, namely EBSCO, Proquest, Sciencedirect, Scopus, Springerlink and Google Scholar. The e-health that can be used to carry out health promotion and monitor the health status of clients was remote mobile health monitoring. This application was integrated with the internet and smartphone so that clients and health workers can monitor the development of the client's health status. The application that can be used to document medical history was a personal health record both internet and computer integrated so that it can be accessed by clients. Community nurses and primary care institutions are expected to be able to design and use this application to monitor and record the health status of clients in the community. Keywords: e-health in community; smartphone; personal health records ABSTRAK Teknologi e-health merupakan teknologi informasi di bidang kesehatan yang dapat digunakan baik oleh petugas kesehatan maupun klien. Aplikasi e-health dapat berbasis komputer, internet maupun smartphone. Studi ini bertujuan untuk membahas jenis-jenis e-health yang dapat digunakan untuk monitoring kesehatan menggunakan smartphone. Pengumpulan data dilakukan melalui telaah literatur jurnal elektronik yaitu EBSCO, Proquest, Science direct, Scopus, Springerlink dan Google Scholar. Teknologi e-health yang dapat digunakan untuk melakukan promosi kesehatan, memonitor status kesehatan klien adalah remote mobile health monitoring. Aplikasi ini terintegrasi dengan internet dan smartphone sehingga klien dan petugas kesehatan dapat memonitor perkembangan status kesehatan klien dimanapun berada. Aplikasi yang dapat digunakan untuk melakukan dokumentasi riwayat kesehatan adalah personal health record baik terintegrasi internet maupun komputer sehingga dapat diakses oleh klien. Perawat komunitas dan institusi pelayanan primer diharapkan dapat merancang dan menggunakan aplikasi ini untuk memonitor dan mencatat status kesehatan klien di masyarakat. Kata kunci: e-health di komunitas; smartphone; personal health records

scholarly journals The new scientific and methodological model of creating a digital health passport for monitoring physical and mental state and physical preparedness of comprehensive school students

2021 ◽  
Vol 54 (6) ◽  
pp. 521-535
Author(s):  
Grigory A. Vorobiev ◽  
◽  
Andrey V. Chebotarev ◽  
Irina P. Panova ◽  
◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Health Monitoring ◽  
Group Performance ◽  
Digital Health ◽  
Relevant Information ◽  
Comprehensive School ◽  
School Students ◽  
Modern Information Technology ◽  
Practical Recommendations

School nowadays is focused on students’ health as a prerequisite for a successful performance. The health status is a multifaceted concept which is gauged by various indicators. Determining the health status of children takes a lot of time resources on the part of educational staff engaged in systemizing and analysing the data and making practical recommendations for optimising students’ health. Boosting the quality of health monitoring can be achieved via modern IT systems by creating a digital health passport for school students. This research is based on the methods of theoretical analysis, synthesis, data generalisation, analytical modelling of the content and organisational process of health monitoring via modern information technology. An attempt was made to create a scientific and methodological model for collating and evaluating data on school children’s physical health, mental health and physical preparedness. The data are presented in the form of a digital health passport. The data were used as a basis for the computer programme The Health Passport which allows the user to obtain information on the general health status and differentiated aspects of health, such as physical or mental health and physical preparedness. The programme can also give individualised practical recommendations by analysing the test results; store statistically relevant information on individual and group performance; conduct comparative analysis of individual and group performance of comprehensive school students on the methodological basis of mathematical statistics.

scholarly journals Kajian Kesehatan Hutan dalam Pengelolaan Hutan Konservasi

2020 ◽  
Vol 4 (2) ◽  
pp. 70
Author(s):  
Rahmat Safe'i ◽  
Hari Kaskoyo ◽  
Arief Darmawan ◽  
Yullia Indriani
Keyword(s):  
Health Status ◽  
Health Monitoring ◽  
Forest Health ◽  
Forest Products ◽  
External Factors ◽  
Management Decision ◽  
Internal Factors ◽  
Forest Health Monitoring ◽  
Management Decision Making ◽  
Non Timber Forest Products

Conservation forests must maintain the function and quality of their forests so that the preservation of the living natural resources therein is not damaged and the balance of the ecosystem is well ordered. The benefits of a conservation forest can be felt by the people who live around the forest such as carbon, water sources, non-timber forest products so that the community can prosper. Forest health monitoring is an activity designed to monitor the condition of forest health based on the results of measurable ecological indicators for forest management decision making. The purpose of this study is to determine the value of conservation forest health status and identify internal and external factors of conservation forest health. The method used is Forest Health Monitoring for assessing forest health status and Statistical Product and Service Solutions 20. software for determining the relationship of internal factors with external forest health. The results showed the health status of the conservation forest included in the management area of the Sustainable Peoples Forest System Farmer Group in the Teluk Pandan sub-district of Pesawaran District included in the medium category (3,20) . Internal factors that affect the health of conservation forests are biodiversity and tree damage while external factors that affect the health of conservation forests are the level of farmers' knowledge, farmer participation and farmer motivation.

scholarly journals An Integration of Health Monitoring System in Public Transport Using the Semantic Web of Things

2021 ◽  
Vol 27 (12) ◽  
pp. 1325-1346
Author(s):  
Abdelhalim Hadjadj ◽  
Khaled Halimi
Keyword(s):  
Health Status ◽  
Semantic Web ◽  
Health Monitoring ◽  
Public Transport ◽  
Human Life ◽  
Vital Signs ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Transport Services

The integration of the Internet of Things (IoT) technology and artificial intelligence has become essential in many aspects of daily life since the expansion of the communications and information field. Healthcare is one area that urgently needs to benefit from these technologies to keep up with the dramatic evolution of communications for contemporary human life. IoT, through wearable devices, provides real-time data related to the measurement of a person’s vital signs of health. However, for this data to become more relevant and valuable, it needs to be linked to other domains. Public transport is a domain related to the daily activity of people who take advantage of the IoT to provide exemplary transport services whose quality of service can greatly affect people’s health. The integration of these two domains offers many benefits, especially when providing services adapted to passengers’ health status, making them safer and healthier. This paper proposes an approach based on an IoT architecture using Semantic Web technologies; it aims to integrate health monitoring in public transport, provide passengers with quality transport services, and ensure continuous health monitoring. The use of Semantic Web technologies overcomes the lack of interoperability due to the heterogeneity of data collected by different devices and generated by two different domains. An experimental study was conducted, and the proposed approach’s results were compared with those obtained by the evaluation of a physician. The results show that the approach is effective and should allow passengers to benefit from appropriate transport services that better match their health status.

scholarly journals Promoting Autonomy in Care: Combining Sensor Technology and Social Robotics for Health Monitoring

2020 ◽  
Vol 2 (1) ◽  
pp. 42
Author(s):  
Caterina Neef ◽  
Anja Richert
Keyword(s):  
Health Status ◽  
Health Monitoring ◽  
Wearable Sensors ◽  
Subjective Health ◽  
Social Robot ◽  
Sensor Technology ◽  
Subjective Health Status ◽  
Subjective Data ◽  
Health Report ◽  
Patient Reported

As the world’s population grows significantly older, there are not enough caregivers in many countries for all the elderly people in need of care. To promote their autonomy while also supporting their caregivers, we propose a health monitoring system comprised of a social robot, and various wearable and non-wearable sensors. Through the use of patient-reported outcome measures (PROMs), captured in conversation with the social robot, the subjective health status of the user is determined. This is supplemented by objective information gathered from wearable and non-wearable sensors used to measure numerous biosignals. By combining the subjective data obtained from interaction with the user and the objective data from the sensor network, a health report for both users and caregivers is generated. The data are visualized for the user and caregiver in a customizable and easily accessible health monitoring dashboard, which also warns the user and their caregivers when the data deviate from the expected values or ranges. The goal is to use this information to improve the quality of care, as changes in the user’s health status can be determined more quickly by themselves and their caregivers. The proposed system establishes a good base for further testing and optimization together with the user, to ensure a useful and appropriate combination of sensors and technological devices that the user is comfortable with.

scholarly journals IMPORTANCE OF MONITORING OF FOREST HEALTH IN MANAGEMENT OF COMMUNITY FORESTS (Case Study of HKM Beringin Jaya managed by KTH Lestari Jaya 8)

2020 ◽  
Vol 4 (1) ◽  
pp. 31-43
Author(s):  
Fansuri Fikri Haikal ◽  
Rahmat Safe’i ◽  
Arief Darmawan
Keyword(s):  
Health Status ◽  
Health Monitoring ◽  
Local Community ◽  
Community Forestry ◽  
Forest Health ◽  
Community Forests ◽  
Final Value ◽  
Forest Health Monitoring ◽  
The Right

Community forestry is a social forestry scheme in state forests. Hkm empowers communities around the forest area to increase the ability and independence of the local community. Forest health monitoring is still rarely applied in the management of HKm. Forest health monitoring results can be a reference in making the right decisions in managing HKm so that the results obtained can be optimal. This study aims to determine the results of forest health monitoring in Beringin Jaya HKm managed by KTH Lestari Jaya 8. The research was conducted using the Forest Health Monitoring (FHM) method. Forest health monitoring results show that there are 6 cluster plots with the final value of forest health status in cluster 1 (2.53) bad category, plot 2 (8.98) good category, plot 3 (6.31) moderate category, plot cluster 4 (10.51) category is good, cluster plot 5 (10.74) category is good and cluster plot 6 (8.98) category is good. Thus the results of forest health monitoring obtained by KTH Lestari Jaya 8 with an average final value of forest health status is moderate

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