11,876 research outputs found
The Role of the Internet of Things in Health Care: A Systematic and Comprehensive Study
The Internet of Things (IoT) is becoming an emerging trend and has significant potential to replace other technologies, where researchers consider it as the future of the internet. It has given tremendous support and become the building blocks in the development of important cyber-physical systems and it is being severed in a variety of application domains, including healthcare. A methodological evolution of the Internet of Things, enabled it to extend to the physical world beyond the electronic world by connecting miscellaneous devices through the internet, thus making everything is connected. In recent years it has gained higher attention for its potential to alleviate the strain on the healthcare sector caused by the rising and aging population along with the increase in chronic diseases and global pandemics. This paper surveys about various usages of IoT healthcare technologies and reviews the state of the art services and applications, recent trends in IoT based healthcare solutions, and various challenges posed including security and privacy issues, which researchers, service providers and end users need to pay higher attention. Further, this paper discusses how innovative IoT enabled technologies like cloud computing, fog computing, blockchain, and big data can be used to leverage modern healthcare facilities and mitigate the burden on healthcare resources
Telepractice-Based Assessment of Children who are Deaf/Hard-of-Hearing: Focus on Family-Centered Practice
Ongoing assessment and progress monitoring is considered best practice to serve children who are Deaf/Hard-of-Hearing (DHH) yet logistics related to provider shortages, distances between families, and illness make regular assessment difficult if not impossible. In the last ten years, telepractice has become a more commonly used service delivery model for serving children who are DHH and their families, however, many providers lack the training needed to adequately assess this population (Behl & Kahn, 2015). With explicit planning of the assessments and tools needed on both sides of the camera, providers can create a shared framework to collect the information needed to create a family-centered, comprehensive assessment plan that empowers families to engage collaborative decision-making needed to optimize the outcomes of their child. This paper outlines a tutorial of provider considerations to incorporate family-centered practices as a central aspect of assessment via telepractice and provides an example of how assessments can be administered with the use of technology
A Review of Current Pediatric Tele-Audiology eHealth Platforms
Purpose: The purpose of this study was to identify current pediatric tele-audiology hearing technology platforms for young children with hearing loss and their families.
Method: An exploratory, descriptive design was used to evaluate features of available pediatric tele-audiology platforms for parents and audiologists to implement for young children. The study explored internet resources including hearing industry websites, for information related to specific eHealth platform features designed to support pediatric hearing devices currently available to audiologists and families.
Results: Of the websites reviewed, only four major technology companies were found to have pediatric tele-audiology ready platforms designed to support young children and their families.
Conclusions: Tele-audiology technology platforms for young children are available but limited in comparison to what may be available to older children and adults. A need for more consistency across platforms was identified based on the inconsistent features observed in the available platforms that could be hinderance to pediatric recipients of tele-audiology services. Future research directions to move eHealth applications forward and determine efficacy are discussed
Challenges and Opportunities of Internet of Things in Healthcare
The Internet of  Things (IoT) relies on physical objects interconnected between each other’s, creating a mesh of devices producing information and services. In this context, sensors and actuators are being continuously embedded in everyday objects (e.g., cars, home appliances, and smartphones) thus pervading our living environment. Among the plethora of application contexts, smart Healthcare is gaining momentum. Indeed IoT can revolutionize the healthcare industry by improving operational efficiency and clinical trials’ quality of monitoring, and by optimizing healthcare costs. This paper provides an overview of IoT, its applicability in healthcare, some insights about current trends and an outlook on future developments of healthcare systems.
Aerospace Medicine and Biology: A continuing supplement 180, May 1978
This special bibliography lists 201 reports, articles, and other documents introduced into the NASA scientific and technical information system in April 1978
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INTEGRATION OF INTERNET OF THINGS AND HEALTH RECOMMENDER SYSTEMS
The Internet of Things (IoT) has become a part of our lives and has provided many enhancements to day-to-day living. In this project, IoT in healthcare is reviewed. IoT-based healthcare is utilized in remote health monitoring, observing chronic diseases, individual fitness programs, helping the elderly, and many other healthcare fields. There are three main architectures of smart IoT healthcare: Three-Layer Architecture, Service-Oriented Based Architecture (SoA), and The Middleware-Based IoT Architecture. Depending on the required services, different IoT architecture are being used. In addition, IoT healthcare services, IoT healthcare service enablers, IoT healthcare applications, and IoT healthcare services focusing on Smartwatch are presented in this research. Along with IoT in smart healthcare, Health Recommender Systems integration with IoT is important. Main Recommender Systems including Content-based filtering, Collaborative-based filtering, Knowledge-based filtering, and Hybrid filtering with machine learning algorithms are described for the Health Recommender Systems. In this study, a framework is presented for the IoT-based Health Recommender Systems. Also, a case is investigated on how different algorithms can be used for Recommender Systems and their accuracy levels are presented. Such a framework can help with the health issues, for example, risk of going to see the doctor during pandemic, taking quick actions in any health emergencies, affordability of healthcare services, and enhancing the personal lifestyle using recommendations in non-critical conditions. The proposed framework can necessitate further development of IoT-based Health Recommender Systems so that people can mitigate their medical emergencies and live a healthy life
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