Internet of Things in Healthcare as an Innovative Form of Personalized Medicine

2021 ◽  
pp. 1933-1943
Author(s):  
Ljubica Dikovic
Keyword(s):  
Health Care ◽  
Personalized Medicine ◽  
Internet Of Things ◽  
Real Time ◽  
Health Management ◽  
Digital Health ◽  
Future Application ◽  
The Future ◽  
Monitoring Treatment ◽  
Internet Revolution

Internet of things is a significant advancement in the big data era, which supports many real-time engineering applications through enhanced services. Generally, the next Internet revolution will be the interconnection between everyday existing objects in order to create a smart grid and intelligent environment. The future application of technology in health care will lead to the creation of an entirely new level of personalized, digital health care, where everyone is responsible for monitoring their own health and the quality of their own life. Further research is aimed at improving the existing sensors through increasing their capabilities and enhancing their efficiency. In the coming period, IoT is expected to play the key roles in all the aspects of modern medical treatment and health management - prevention, diagnosis, disease monitoring, treatment monitoring. This paper emphasizes the growing needs for better functioning of healthcare systems in real-time as well as the future development of personalized medicine.

scholarly journals The future of health tourism in the industrial revolution 4.0 era

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Brian Kee Mun Wong ◽  
Sarah Alia Sa’aid Hazley
Keyword(s):  
Health Care ◽  
Real Time ◽  
Industrial Revolution ◽  
Digital Health ◽  
Current Trend ◽  
Tourism Industry ◽  
Healthcare Industry ◽  
Health Tourism ◽  
Content Type ◽  
The Future

Purpose The technological advances in the Industrial Revolution (IR) 4.0 era escalate the advancement of the healthcare industry, including the health tourism phenomenon. Based on the current trend in connected health care (e.g. mobile healthcare technology; digital health, etc.), this paper aims to propose that the distance between healthcare providers around the globe and its potential patients can be vastly reduced to almost on a real time basis. Design/methodology/approach A secondary literature review is conducted to identify the key development of IR 4.0 technologies in the healthcare industry and its possible trend leading the health tourism sector. Findings The adoption of IR 4.0 technologies is expected to make seeking treatments overseas more affordable, accessible and health records readily available on a real-time and secured basis. However, it is worth to note that the growth of health tourism raises the eyebrows of society from the security, social and economic perspectives. Originality/value This paper contributes to our understanding that the emergence of IR 4.0 technologies changes the landscape of the health care and health tourism industry. Continuous technology advancement is expected to further shape the future trend and escalate the commercialization aspect of the health tourism industry.

scholarly journals Analysis technique of a wearable IoT health information on the MAPHIS

2018 ◽  
Vol 7 (3.3) ◽  
pp. 224
Author(s):  
Kwang Man Ko ◽  
Soon Gohn Kim
Keyword(s):  
Health Care ◽  
Big Data ◽  
Real Time ◽  
Health Management ◽  
Digital Health ◽  
Third Party ◽  
Smart Device ◽  
Calorie Intake ◽  
Management Service ◽  
Ubiquitous Environment

Background/Objectives: As u-health becomes common that monitors body condition real time in the ubiquitous environment, people are increasingly interested in promoting their health using biometric information identified by various health equipment.Methods/Statistical analysis: the concept of digital health has emerged that encompasses the followings: u-health that is expected to improve efficiency in medical service and monitor patients’ condition with wireless communication through convergence of ICT and health care industry; smart health(s-health) that manages their own workout, calorie intake and sporting activities with their smart device; and, mobile health (m-health) that uses wearable and mobile devices as a means of healthcare.Findings: In this study, we aim to develop a health care platform that receives diabetes information generated from various IoT based on remote inputs, stores, analyzes, processes and provides visualized information. The purpose of this study is to develop and test IoT-based diabetes health big-data platform for diabetes mellitus patients. To achieve this goal, we suggest the development result of service and contents oriented “An IoT-based diabetes health big-data Offloading platform” that comprehensively manages healthcare products created in many IoT-based diabetes information to build a personal health management system. We also developed android 4.x-based application so that the health management service and contents provided by a third party can be checked with the client PC as well as health management service and contents offered by web-based client application and third party can be operated in the mobile environment such as smartphone or tablet.Improvements/Applications: The results of this study are verified by applying it to patients with diabetes or suspected cases. In order to increase the efficiency of real-time processing, we used off-loading technology to utilize big data related to diabetes generated from wearable IoT device. The results of this study will be used for telemedicine in two hospitals in Malaysia after various laboratory verification procedures.  

scholarly journals THE IMPLEMENTATION OF MODERN GEOCENTRIC DATUM: A REVIEW

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 685-690
Author(s):  
N. M. Yazid ◽  
A. H. M. Din ◽  
N. M. Abdullah ◽  
A. H. Omar
Keyword(s):  
New Zealand ◽  
Real Time ◽  
Reference Frame ◽  
Terrestrial Reference Frame ◽  
Future Application ◽  
Tectonic Plate ◽  
International Terrestrial Reference Frame ◽  
The Future

Abstract. A dynamic datum denotes a coordinate datum in real-time linked with the International Terrestrial Reference Frame (ITRF) in order to provide a dynamic ITRF-like datum to the users. The ITRF is dynamic and updating every few years as its stations’ coordinates consider the motion of earth’s tectonic plate and other deformations. This paper is an effort to review the implementation of dynamic geocentric datum techniques from a few countries. An overview of dynamic geocentric datum implements Malaysia, Australia, New Zealand, Uzbekistan, Israel and Brunei will be summarized to support the future application. Thus, a review consists of a type of datum; datum parameters, reference frame and epoch will be discussed and outlined. This initiative is the significance for the advancement of the future datum development.

scholarly journals Personalized medicine: Time for One person, one medicine

2021 ◽  
pp. 86-92
Author(s):  
Prithvirajsinh Parmar ◽  
Himan Patel ◽  
Ashvin Mishra ◽  
Miteshkumar Malaviya ◽  
Keyur Parmar
Keyword(s):  
Health Care ◽  
Personalized Medicine ◽  
Signs And Symptoms ◽  
Contagious Diseases ◽  
The Future ◽  
Individual Knowledge ◽  
Working Together ◽  
The Individual ◽  
The Cost ◽  
Based Medicine

It’s becoming clearer that medicine is not one-size-fits-all. The problem with the traditional or present way of medical treatment is that they are created for and tested on a large group of people. The medicines are prescribed so broadly that they don’t work for everyone. Some drugs work very well for certain people and some not. In ancient times, medicine was practiced according to the signs and symptoms presented by the patient and were solely based on the individual knowledge of the physician and thus were called intuition medicine. Nowadays, medicine is based on the evidence produced by scientific research, including clinical trials, which is designated as evidence-based medicine. In the future, medicine will be practiced according to algorithms that will take into consideration the patient's characteristics, such as their genome, epigenetics, and lifestyle, constituting personalized medicine. Doctors use information about you -- your genes, lifestyle, and environment -- along with the characteristics of your disease to select treatments that are most likely to work for you. Health care has transmuted since the decline in mortality caused by infectious diseases as well as chronic and non-contagious diseases, with a direct impact on the cost of public health and individual health care. The evolution of medicine has increased the life expectancy of humans. Personalized medicine is the new way of thinking about medicines. In this review, we will see how Personalized medicine will transform healthcare, how Artificial intelligence and personalized medicine working together towards better healthcare, personalized medicine in the pharmaceutical industry, its vision for the future, and its application in various diseases.

scholarly journals A novel approach to sensor implementation for healthcare systems using internet of things

2019 ◽  
Vol 9 (6) ◽  
pp. 5031
Author(s):  
Rishabh Mitra ◽  
Raghavendra Ganiga
Keyword(s):  
Health Care ◽  
Internet Of Things ◽  
Industrial Revolution ◽  
Raspberry Pi ◽  
The Internet ◽  
Novel Approach ◽  
The Future ◽  
Internal Mechanism ◽  
19Th And 20Th Century ◽  
The Internet Of Things

<p>The Internet of Things is touching all spheres of life, be it in connecting cities together, making agricultural farms and health care smarter, predictable and more secure, and in industries it is set out to bring about changes that are similar to those of the industrial revolution that took place in the 19th and 20th century. It is estimated by pundits that in next 5 to 10 years, the Internet of Things will become a 50 billion dollar industry by itself, encompassing everything that it touches and goes upon. In order to get healthcare enabled into the IoT ecosystem, the sensors and the actuators related to it must be able to support the protocols that is required for the acquisition, processing and storing of data from the sensors to the IoT based infrastructure. Here, for a proposed model for a health care monitor using Internet of Things, the sensors characteristics, working principal, the protocol associated with it, its internal mechanism, and the results obtained when interfaced using a Raspberry Pi are<br />discussed, laying the framework for the future of the sensors that need to be adapted to stay relevant in the future, when IoT transitions from concept to reality.</p>

Enhancing Security in a Big Stream Cloud Architecture for the Internet of Things Through Blockchain

2019 ◽  
pp. 104-133 ◽  
Author(s):  
Luca Davoli ◽  
Laura Belli ◽  
Gianluigi Ferrari
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Smart Cities ◽  
Digital Health ◽  
The Internet ◽  
Low Latency ◽  
Stream Data ◽  
Smart Agriculture ◽  
The Internet Of Things ◽  
Generation Technology

The Internet of Things (IoT) paradigm is foreseeing the development of our environment towards new enriched spaces in most areas of modern living, such as digital health, smart cities, and smart agriculture. Several IoT applications also have real-time and low-latency requirements and must rely on specific architectures. The authors refer to the paradigm that best fits the selected IoT scenario as “Big Stream” because it considers real-time constraints. Moreover, the blockchain concept has drawn attention as the next-generation technology through the authentication of peers that share encryption and the generation of hash values. In addition, the blockchain can be applied in conjunction with Cloud Computing and the IoT paradigms, since it avoids the involvement of third parties in a broker-free way. In this chapter, an analysis on mechanisms that can be adopted to secure Big Stream data in a graph-based platform, thus delivering them to consumers in an efficient and secure way, and with low latency, is shown, describing all refinements required employing federation-based and blockchain paradigms.

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