Smart Healthcare

2018 ◽  
pp. 21-33
Author(s):  
R. Rajkumar
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Cost Effective ◽  
Reliable System ◽  
Smart Healthcare ◽  
Cloud Server ◽  
Android App ◽  
The Cost ◽  
Very High ◽  
At Home

Internet of things is a revolutionary domain, when we use it for the wellness of people in a smart way. As of now, the cost to implement IoT-enabled services is very high. So, this chapter introduces a cost effective and a reliable system to monitor patients at home and in hospitals with the help of IoT. The monitored details of a person can be drawn at any time with the help of an android app, which can produce output at real-time. The processed data are stored in the UBIDOTS cloud server, and the patients' needs can be met in time as well lives saved during critical cases with the help of the system proposed in this chapter.

scholarly journals SISTEM SMART HEALTHCARE MENGGUNAKAN AD8232 BERBASIS BERBASIS INTERNET OF THINGS

2019 ◽  
Vol 10 (4) ◽  
pp. 228
Author(s):  
Arafat Arafat ◽  
Wagino Wagino
Keyword(s):  
Heart Rate ◽  
Internet Of Things ◽  
Real Time ◽  
Heart Rate Monitoring ◽  
Smart Healthcare ◽  
Cloud Server

 ABSTRAKPemantauan data secara terus-menerus dengan teknologi IOT akan menjadi  sebuah platform untuk industri kesehatan, yang mana akan memungkinkan dokter dengan cepat dan efektif untuk mendiagnosis kesehatan pasien nya.Sistem monitoring  pasien  secara real time akan mengirimkan data yang dipantau  langsung kedalam jaringan ke internet. IOT untuk Healthcare dapat digunakan pada pasien kritis yang  perlu berada di bawah pemantauan secara terus-menerus; terutama jika tidak ada atau tidak tersedianya dokter di daerah pasien tinggal. Deteksi dini penyakit dimungkinkan dengan menggunakan aplikasi IoT Healthcare dan dokter dapat segera diberitahu. IOT healthcare memiliki berbagai macam aplikasi seperti pemantauan jantung, pemantauan EKG, pemantauan tekanan darah, dll. Pada penelitian ini akan membahas tentang pemantauan ECG dengan IoT dan metodologi implementasinya. Proposal ini mengusulkan dan  mengimplementasikan aplikasi smart healtcare menggunakan sistem IOT menggunakan sensor denyut jantung AD8232 yang dihubungkan dengan board NodeMcu dan selanjutnya terhubung ke Cloud Server blynk..Kata kunci: AD8232, IoT, ESP8266, HTTP, Cloud, heart rate monitoring, blynk

scholarly journals Addition of Flucytosine to Fluconazole for the Treatment of Cryptococcal Meningitis in Africa: A Multicountry Cost-effectiveness Analysis

2019 ◽  
Vol 70 (1) ◽  
pp. 26-29 ◽  
Author(s):  
Tinevimbo Shiri ◽  
Angela Loyse ◽  
Lawrence Mwenge ◽  
Tao Chen ◽  
Shabir Lakhi ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Cost Effectiveness ◽  
Cryptococcal Meningitis ◽  
Cost Effective ◽  
Immunodeficiency Virus ◽  
The Mean ◽  
The Cost ◽  
The Impact ◽  
Costing Analysis ◽  
Very High

Abstract Background Mortality from cryptococcal meningitis remains very high in Africa. In the Advancing Cryptococcal Meningitis Treatment for Africa (ACTA) trial, 2 weeks of fluconazole (FLU) plus flucytosine (5FC) was as effective and less costly than 2 weeks of amphotericin-based regimens. However, many African settings treat with FLU monotherapy, and the cost-effectiveness of adding 5FC to FLU is uncertain. Methods The effectiveness and costs of FLU+5FC were taken from ACTA, which included a costing analysis at the Zambian site. The effectiveness of FLU was derived from cohorts of consecutively enrolled patients, managed in respects other than drug therapy, as were participants in ACTA. FLU costs were derived from costs of FLU+5FC in ACTA, by subtracting 5FC drug and monitoring costs. The cost-effectiveness of FLU+5FC vs FLU alone was measured as the incremental cost-effectiveness ratio (ICER). A probabilistic sensitivity analysis assessed uncertainties and a bivariate deterministic sensitivity analysis examined the impact of varying mortality and 5FC drug costs on the ICER. Results The mean costs per patient were US $847 (95% confidence interval [CI] $776–927) for FLU+5FC, and US $628 (95% CI $557–709) for FLU. The 10-week mortality rate was 35.1% (95% CI 28.9–41.7%) with FLU+5FC and 53.8% (95% CI 43.1–64.1%) with FLU. At the current 5FC price of US $1.30 per 500 mg tablet, the ICER of 5FC+FLU versus FLU alone was US $65 (95% CI $28–208) per life-year saved. Reducing the 5FC cost to between US $0.80 and US $0.40 per 500 mg resulted in an ICER between US $44 and US $28 per life-year saved. Conclusions The addition of 5FC to FLU is cost-effective for cryptococcal meningitis treatment in Africa and, if made available widely, could substantially reduce mortality rates among human immunodeficiency virus–infected persons in Africa.

Bridging the IoT Gap Through Edge Computing

2019 ◽  
pp. 1-9
Author(s):  
R. I. Minu ◽  
G. Nagarajan
Keyword(s):  
Internet Of Things ◽  
Information Needs ◽  
Edge Computing ◽  
The Internet ◽  
Cloud Server ◽  
The Cost ◽  
The Internet Of Things ◽  
Clear Objective ◽  
Origin Point

In the present-day scenario, computing is migrating from the on-premises server to the cloud server and now, progressively from the cloud to Edge server where the data is gathered from the origin point. So, the clear objective is to support the execution and unwavering quality of applications and benefits, and decrease the cost of running them, by shortening the separation information needs to travel, subsequently alleviating transmission capacity and inactivity issues. This chapter provides an insight of how the internet of things (IoT) connects with edge computing.

scholarly journals Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 720 ◽  
Author(s):  
Gonçalo Marques ◽  
Nuno Miranda ◽  
Akash Kumar Bhoi ◽  
Begonya Garcia-Zapirain ◽  
Sofiane Hamrioui ◽  
...  
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Mobile Computing ◽  
Real Time ◽  
Smart Cities ◽  
Cost Effective ◽  
Well Being ◽  
World Health ◽  
Computing Technologies ◽  
Living Environments

This paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality on public health and defined standards and policies to regulate and improve air quality. However, there is a significant need for cost-effective methods to monitor and control air quality which provide modularity, scalability, portability, easy installation and configuration features, and mobile computing technologies integration. The proposed method allows the measuring and mapping of air quality levels considering the spatial-temporal information. This system incorporates a cyber-physical system for data collection and mobile computing software for data consulting. Moreover, this method provides a cost-effective and efficient solution for air quality supervision and can be installed in vehicles to monitor air quality while travelling. The results obtained confirm the implementation of the system and present a relevant contribution to enhanced living environments in smart cities. This supervision solution provides real-time identification of unhealthy behaviours and supports the planning of possible interventions to increase air quality.

scholarly journals Decrease of Power Consumption Utilizing IOT

2019 ◽  
Vol 9 (1) ◽  
pp. 5316-5319
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Smart Cities ◽  
Electricity Consumption ◽  
Cost Of Electricity ◽  
Future Consumption ◽  
The Cost ◽  
Very High ◽  
New System ◽  
Made In

As electricity consumption is very high so using IOT ,reduction of electricity consumption is tried company nowadays but the use of it in extreme levels results as a damage to environment and personal financial conditions.Involving fields of application and Internet of things sensors are made. In this paper an architecture is introduced, that helps the smart cities to save resources for future. Consumption of electricity in a way is destroying the environment so this paper helps in saving the cost of electricity as well as saving the environment using wireless connections. Finally a new system is proposed keeping in mind the old one and its challenges. This system overcomes all the challenges and difficulties faced by the old one. To implement the framework electrical appliances such as lights, fans, ac etc are incorporated within the proposed system of reduction of electricity consumption

scholarly journals Evaluating the Cost-effectiveness Analysis of Rehabilitation Methods for Patients with Stroke

2021 ◽  
Author(s):  
Farzaneh Miri ◽  
Nader Jahanmehr ◽  
Reza Goudarzi
Keyword(s):  
Cost Effectiveness ◽  
Stroke Unit ◽  
Cost Effective ◽  
Cost Effectiveness Analysis ◽  
Sensitivity Analyses ◽  
Rehabilitation Service ◽  
Effectiveness Analysis ◽  
The Cost ◽  
Rehabilitation Strategy ◽  
At Home

Abstract Aims: This study evaluated and compared the cost-effectiveness of rehabilitation interventions in patients with stroke in the three alternatives of hospitals, units and homes due to the fact that one of the stroke management challenges is how to provide a rehabilitation service to these patients in Iran. Methods: This is a cost-effectiveness analysis from the perspective of a health system. A Markov model with a 20-year time horizon in 3-month cycles was used to analyze the costs and outcomes. Cost data were collected from the 210 patients undergoing rehabilitation in the hospital, home and unit. Utility data were extracted from previously published literature with the same setting. The cost-effectiveness analysis was conducted by calculating ICER using TreeAge Software. Basic and probabilistic sensitivity analyses were also conducted at the end. Results: The average cost of rehabilitation in home strategy ($ 2306) was less than hospital ($2955) and unit ($3485) strategies. Furthermore, the utility of home strategy (26.03) was 8 units higher than hospital utility (17.99) and 19 units higher than utility of the stroke unit (7.03). The Acer values of hospital, stroke unit and home groups were $11424, $33159 and $7233 per utility, respectively. According to the results, the home-based rehabilitation strategy is cost effective compared to hospital and unit rehabilitation strategy. The results of the probabilistic sensitivity analysis also showed that the ICER of home strategy is always cost-effective than the other strategies. Limitation: : limitation of the present study was the reliance on utility values of other studies. Conclusion: Rehabilitation at home is the most cost-effective strategy for stroke patients. Given the high rates of this disease in Iran and the high cost of it, it is suggested that policy makers lay the groundwork for providing these services at home.

scholarly journals Diagnostic performance of rapid antigen tests (RATs) for SARS-CoV-2 and their efficacy in monitoring the infectiousness of COVID-19 patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
John G. Routsias ◽  
Maria Mavrouli ◽  
Panagiota Tsoplou ◽  
Kyriaki Dioikitopoulou ◽  
Athanasios Tsakris
Keyword(s):  
Diagnostic Performance ◽  
Limit Of Detection ◽  
High Sensitivity ◽  
Cost Effective ◽  
Clinical Samples ◽  
True Positive ◽  
Antigen Tests ◽  
The Cost ◽  
Very High ◽  
Test Result

AbstractThe most widely used test for the diagnosis of SARS-CoV-2 infection is a PCR test. PCR has very high sensitivity and is able to detect very low amounts of RNA. However, many individuals receiving a positive test result in a context of a PCR-based surveillance might be infected with SARS-CoV-2, but they are not contagious at the time of the test. The question arises regards if the cost effective, portable rapid antigen tests (RATs) have a better performance than PCR in identification of infectious individuals. In this direction, we examined the diagnostic performance of RATs from 14 different manufacturers in 400 clinical samples with known rRT-PCR cycles threshold (cT) and 50 control samples. Substantial variability was observed in the limit of detection (LOD) of different RATs (cT = 26.8–34.7). The fluorescence-based RAT exhibited a LOD of cT = 34.7. The use of the most effective RATs leads to true positive rates (sensitivities) of 99.1% and 90.9% for samples with cT ≤ 30 and cT ≤ 33, respectively, percentages that can guarantee a sensitivity high enough to identify contagious patients. RAT testing may also substantially reduce the quarantine period for infected individuals without compromising personal or public safety.

Integration of Internet of Things with quantum dots: A state-of-the-art of medicine.

2021 ◽  
Vol 27 ◽  
Author(s):  
Drashti Desai ◽  
Pravin Shende
Keyword(s):  
Quantum Dots ◽  
Internet Of Things ◽  
Real Time ◽  
Cost Effective ◽  
Disruptive Innovation ◽  
Integrated System ◽  
Healthcare Sector ◽  
Sensor Technology ◽  
Biomedical Sciences ◽  
Medical Quality

: Internet of Things (IoT) emerges as disruptive innovation and development in the fields of drug delivery and biomedical sciences using on-target active transportation, sensors, wearable devices, real-time diagnostics, etc. Semiconducting fluorescence emitting material, quantum dots on integration with IoT displayed interesting results in healthcare sector especially in hospitals and pathological laboratories. Presently, the integrated system is used to improve productivity without the interference of human and offer cost-effective system. This integrated system can be used for detection of various diseases like epilepsy, cancer, diabetes, etc. and various biomedical applications like energy storage, lights, sensor technology, light filters, etc. The integrated technology is implemented into the field of medicine for simplifying the approaches in therapeutics and diagnostic applications. The collected and analyzed data are further useful for healthcare professionals to find patient-centric solutions. Artificial Intelligence-aided IoT emerges as a novel technology for transmitting and securing the health data. Despite some of the limitations like e-waste and risk of hacking, IoT-based QD system will be considered as a modern healthcare provider with life-saving products for enriching medical quality and real-time accessibility.

scholarly journals Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol

2018 ◽  
Vol 1 (4) ◽  
pp. 42 ◽  
Author(s):  
Sharnil Pandya ◽  
Hemant Ghayvat ◽  
Ketan Kotecha ◽  
Mohammed Awais ◽  
Saeed Akbarzadeh ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Smart Home ◽  
Cost Effective ◽  
Video Data ◽  
Night Vision ◽  
Efficient System ◽  
Home Security ◽  
Novel Approach ◽  
Plastic Materials

The proposed research methodology aims to design a generally implementable framework for providing a house owner/member with the immediate notification of an ongoing theft (unauthorized access to their premises). For this purpose, a rigorous analysis of existing systems was undertaken to identify research gaps. The problems found with existing systems were that they can only identify the intruder after the theft, or cannot distinguish between human and non-human objects. Wireless Sensors Networks (WSNs) combined with the use of Internet of Things (IoT) and Cognitive Internet of Things are expanding smart home concepts and solutions, and their applications. The present research proposes a novel smart home anti-theft system that can detect an intruder, even if they have partially/fully hidden their face using clothing, leather, fiber, or plastic materials. The proposed system can also detect an intruder in the dark using a CCTV camera without night vision capability. The fundamental idea was to design a cost-effective and efficient system for an individual to be able to detect any kind of theft in real-time and provide instant notification of the theft to the house owner. The system also promises to implement home security with large video data handling in real-time. The investigation results validate the success of the proposed system. The system accuracy has been enhanced to 97.01%, 84.13, 78.19%, and 66.5%, in scenarios where a detected intruder had not hidden his/her face, hidden his/her face partially, fully, and was detected in the dark from 85%, 64.13%, 56.70%, and 44.01%.

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