scholarly journals IoMT Platform for Pervasive Healthcare Data Aggregation, Processing, and Sharing Based on OneM2M and OpenEHR

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4283 ◽  
Author(s):  
Jesús N. S. Rubí ◽  
Paulo R. L. Gondim
Keyword(s):  
Communication Networks ◽  
Technological Development ◽  
Healthcare Services ◽  
Data Representation ◽  
The Internet ◽  
Pervasive Healthcare ◽  
Healthcare Data ◽  
Content Sharing ◽  
Almost All ◽  
Processing Techniques

Pervasive healthcare services have undergone a great evolution in recent years. The technological development of communication networks, including the Internet, sensor networks, and M2M (Machine-to-Machine) have given rise to new architectures, applications, and standards related to addressing almost all current e-health challenges. Among the standards, the importance of OpenEHR has been recognized, since it enables the separation of medical semantics from data representation of electronic health records. However, it does not meet the requirements related to interoperability of e-health devices in M2M networks, or in the Internet of Things (IoT) scenarios. Moreover, the lack of interoperability hampers the application of new data-processing techniques, such as data mining and online analytical processing, due to the heterogeneity of the data and the sources. This article proposes an Internet of Medical Things (IoMT) platform for pervasive healthcare that ensures interoperability, quality of the detection process, and scalability in an M2M-based architecture, and provides functionalities for the processing of high volumes of data, knowledge extraction, and common healthcare services. The platform uses the semantics described in OpenEHR for both data quality evaluation and standardization of healthcare data stored by the association of IoMT devices and observations defined in OpenEHR. Moreover, it enables the application of big data techniques and online analytic processing (OLAP) through Hadoop Map/Reduce and content-sharing through fast healthcare interoperability resource (FHIR) application programming interfaces (APIs).

scholarly journals Optimasi Jalur Transfer Data dari HTTP menjadi MQTT pada IoT menggunakan Cloud Services

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Claudia Felicia Permatasari ◽  
Harry Dhika
Keyword(s):  
Communication Networks ◽  
Data Transmission ◽  
Technological Development ◽  
Smart Phone ◽  
Large Data ◽  
Cloud Services ◽  
Smart Device ◽  
The Internet ◽  
Internet Connection ◽  
Internet Of Things Technology

At this time, in the era of technological development and information that incresingly very fast, introduced smart device systems that can help any stuff and conditions of human work, this technology is known as IoT or the abbreviation of Internet of Things Technology. With the existence of IoT systems, every devices connected to microcontroller, and we can communicate to domonitoring stuff and work more easier anytime, anywhere, and with variety of gadgets that we have. However, it must be supported by the existence of a stable supporting internet access. The HTTP protocol is used to connect communication networks and data traffic between devices on IoT has laxity with effectiveness, supports faster data transmission capabilities, resources intensive used, complicated message formats, large data sizes, and the process of checking traffic for each data consume a lot of time. This exactly affects for the performance of related systems. Referring to these constraints, this paper will discuss the comparison betw en HTTP and MQTT protocols in terms of protocol models, speed of data transmission, size of messages sent, and optimal use for each protocol. Implementation of this system test also involves the implementation of RabbitMQ as a Message Broker between the sender / publisher (smart phone) and the receiver / subscriber (IoT device) which is tasked with storing temporary data before being distributed to the receiver. Not only that, RabbitMQ also has a role to handle if the internet connection is unstable or temporarily dead, the server can store data temporarily on RabbitMQ and will return the data to the IoT device if the internet connection is more stable. This such a system mechanism can certainly be a solution for us to against the problem of data loss due to unstable internet connections. Users/ clients are no longer afraid that data will be lost because all data will be accommodated in RabbitMQ stored place, not influenced by the stability of the internet network connection. In this case, RabbitMQ must be in container environment, for that we also need a docker when installing a broker which is useful as a media containerize. With the docker container, installing RabbitMQ becomes so easy because the installation is not really done from the beginning (as we knew that potentially quite complicated), but we will only install containers that have been filled by RabbitMQ.

Pervasive Healthcare Services and Technologies for Memory Loss Diseases Support

2010 ◽  
pp. 119-127
Author(s):  
Mata Ilioudi ◽  
Dimitrios Karaiskos ◽  
Athina Lazakidou
Keyword(s):  
Independent Living ◽  
New Technologies ◽  
Memory Loss ◽  
Family Care ◽  
Healthcare Services ◽  
Healthcare Applications ◽  
Pervasive Healthcare ◽  
Healthcare Data ◽  
Elder Patients ◽  
Research Problems

With an increasingly mobile society and the worldwide deployment of mobile and wireless networks, the wireless infrastructure can support many current and emerging healthcare applications. This could fulfill the vision of “pervasive healthcare” or healthcare to anyone, anytime, and anywhere by removing locational, time and other restraints while increasing both the coverage and the quality. In this chapter the authors present applications and requirements of pervasive healthcare, wireless networking solutions and several important research problems. The pervasive healthcare applications include pervasive health monitoring, intelligent emergency management system, pervasive healthcare data access, and ubiquitous mobile telemedicine. On top of the valuable benefits new technologies enable the memory loss patients for independent living and also reduce the cost of family care-giving for memory loss and elder patients.

Survey of Cloud Computing in Healthcare Sector

2017 ◽  
Vol 7 (7) ◽  
pp. 337
Author(s):  
S. Karthiga Devi ◽  
B. Arputhamary
Keyword(s):  
Cloud Computing ◽  
Healthcare Providers ◽  
High Volume ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Cloud Infrastructure ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing.  These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

Nanonetworks in Biomedical Applications

2019 ◽  
Vol 20 (8) ◽  
pp. 800-807 ◽  
Author(s):  
Jose Luis Marzo ◽  
Josep Miquel Jornet ◽  
Massimiliano Pierobon
Keyword(s):  
Communication Networks ◽  
Information Exchange ◽  
Biomedical Applications ◽  
Chemical Compounds ◽  
The Internet ◽  
Molecular Communication ◽  
Common Goal ◽  
Communication Paradigm ◽  
Communication Needs ◽  
Electromagnetic Signals

By interconnecting nanomachines and forming nanonetworks, the capacities of single nanomachines are expected to be enhanced, as the ensuing information exchange will allow them to cooperate towards a common goal. Nowadays, systems normally use electromagnetic signals to encode, send and receive information, however, in a novel communication paradigm, molecular transceivers, channel models or protocols use molecules. This article presents the current developments in nanomachines along with their future architecture to better understand nanonetwork scenarios in biomedical applications. Furthermore, to highlight the communication needs between nanomachines, two applications for nanonetworks are also presented: i) a new networking paradigm, called the Internet of NanoThings, that allows nanoscale devices to interconnect with existing communication networks, and ii) Molecular Communication, where the propagation of chemical compounds like drug particles, carry out the information exchange.

Theories of Communication Networks

2003 ◽  
Author(s):  
Peter R. Monge ◽  
Noshir Contractor
Keyword(s):  
Communication Networks ◽  
Computer Simulations ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Cross Sectional ◽  
Network Decomposition ◽  
Network Computer ◽  
Social Theories ◽  
Complex Adaptive ◽  
Almost All

To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical analysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks.

scholarly journals A Coalitional Distributed Model Predictive Control Perspective for a Cyber-Physical Multi-Agent Application

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4041
Author(s):  
Anca Maxim ◽  
Constantin-Florin Caruntu
Keyword(s):  
Model Predictive Control ◽  
Communication Networks ◽  
Predictive Control ◽  
Technological Development ◽  
Distributed Model ◽  
Multi Agent Systems ◽  
Test Scenario ◽  
Distributed Model Predictive Control ◽  
Multi Agent ◽  
And Performance

Following the current technological development and informational advancement, more and more physical systems have become interconnected and linked via communication networks. The objective of this work is the development of a Coalitional Distributed Model Predictive Control (C- DMPC) strategy suitable for controlling cyber-physical, multi-agent systems. The motivation behind this endeavour is to design a novel algorithm with a flexible control architecture by combining the advantages of classical DMPC with Coalitional MPC. The simulation results were achieved using a test scenario composed of four dynamically coupled sub-systems, connected through an unidirectional communication topology. The obtained results illustrate that, when the feasibility of the local optimization problem is lost, forming a coalition between neighbouring agents solves this shortcoming and maintains the functionality of the entire system. These findings successfully prove the efficiency and performance of the proposed coalitional DMPC method.

scholarly journals Regional medical practice variation in high-cost healthcare services

2021 ◽  
Author(s):  
Michael Berger ◽  
Thomas Czypionka
Keyword(s):  
Medical Practice ◽  
Regional Variation ◽  
Multivariate Regression ◽  
Healthcare Services ◽  
Practice Variation ◽  
District Level ◽  
Healthcare Data ◽  
Regional Medical ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri

AbstractMagnetic resonance imaging (MRI) is a popular yet cost-intensive diagnostic measure whose strengths compared to other medical imaging technologies have led to increased application. But the benefits of aggressive testing are doubtful. The comparatively high MRI usage in Austria in combination with substantial regional variation has hence become a concern for its policy makers. We use a set of routine healthcare data on outpatient MRI service consumption of Austrian patients between Q3-2015 and Q2-2016 on the district level to investigate the extent of medical practice variation in a two-step statistical analysis combining multivariate regression models and Blinder–Oaxaca decomposition. District-level MRI exam rates per 1.000 inhabitants range from 52.38 to 128.69. Controlling for a set of regional characteristics in a multivariate regression model, we identify payer autonomy in regulating access to MRI scans as the biggest contributor to regional variation. Nevertheless, the statistical decomposition highlights that more than 70% of the regional variation remains unexplained by differences between the observable district characteristics. In the absence of epidemiological explanations, the substantial regional medical practice variation calls the efficiency of resource deployment into question.

scholarly journals Diabetic Retinopathy Screening and Registration in Europe—Narrative Review

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 745
Author(s):  
Elitsa Hristova ◽  
Darina Koseva ◽  
Zornitsa Zlatarova ◽  
Klara Dokova
Keyword(s):  
Diabetic Retinopathy ◽  
Healthcare Services ◽  
The European Union ◽  
Specialist Care ◽  
Screening Programs ◽  
Diabetic Retinopathy Screening ◽  
Remote Assessment ◽  
Narrative Literature ◽  
Narrative Literature Review ◽  
Almost All

Diabetic retinopathy (DR) is a leading cause of preventable vision impairment and blindness in the European Region. Despite the fact that almost all European countries have some kind of prophylactic eye examination for people with diabetes, the examinations are not properly arranged and are not organized according to the principles of screening in medicine. In 2021, the current COVID-19 pandemic moved telemedicine to the forefront healthcare services. Due to that, a lot more patients could benefit from comfortable and faster access to ophthalmology specialist care. This study aimed to conduct a narrative literature review on current DR screening programs and registries in the European Union for the last 20 years. With the implementation of telemedicine in daily medical practice, performing screening programs became much more attainable. Remote assessment of retinal pictures simultaneously saves countries time, money, and other resources.

Big Data and Big Data Analytics for Improved Healthcare Service and Management

2020 ◽  
Vol 8 (1) ◽  
pp. 13-51
Author(s):  
Pijush Kanti Dutta Pramanik ◽  
Saurabh Pal ◽  
Moutan Mukhopadhyay
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Future Market ◽  
Data Generation ◽  
Related Data ◽  
Healthcare Data ◽  
Different Types

Like other fields, the healthcare sector has also been greatly impacted by big data. A huge volume of healthcare data and other related data are being continually generated from diverse sources. Tapping and analysing these data, suitably, would open up new avenues and opportunities for healthcare services. In view of that, this paper aims to present a systematic overview of big data and big data analytics, applicable to modern-day healthcare. Acknowledging the massive upsurge in healthcare data generation, various ‘V's, specific to healthcare big data, are identified. Different types of data analytics, applicable to healthcare, are discussed. Along with presenting the technological backbone of healthcare big data and analytics, the advantages and challenges of healthcare big data are meticulously explained. A brief report on the present and future market of healthcare big data and analytics is also presented. Besides, several applications and use cases are discussed with sufficient details.

Sistem Informasi Penjualan Online di Universitas Katolik Santo Thomas (Tokounika) Berbasis Web Menggunakan Metode Feature Driven Development

2021 ◽  
pp. 63-71
Author(s):  
Andy Paul Harianja ◽  
Iwada Grawilser Talunohi
Keyword(s):  
Information Technology ◽  
Information System ◽  
Information Systems ◽  
Communication Networks ◽  
Business Processes ◽  
Business Students ◽  
The Internet ◽  
Online Sales ◽  
Catholic University ◽  
Business Entities

The development of the field of information technology is very rapid, therefore many companies, industries, shops and other business entities are using information systems to increase their business. Online sales information systems are used to carry out business processes such as distribution, sales, purchasing, marketing of goods or services by using communication networks and the internet. Online sales information systems can help people who do not have a place or shop to carry out their business. Students in this case, especially at the Catholic University of Santo Thomas, are an opportunity to take advantage of this facility in carrying out their business, especially if they do not have a place or shop to carry out their business. For this reason, an online sales information system was built that can be accessed through the website.

Sign in / Sign up

Export Citation Format

Share Document