IoT in Healthcare

2020 ◽  
pp. 1575-1586
Author(s):  
Somasundaram R ◽  
Mythili Thirugnanam
Keyword(s):  
Medical Information ◽  
Health And Safety ◽  
Healthcare Services ◽  
Wearable Technologies ◽  
Security Issues ◽  
Technological Advances ◽  
Working Principle ◽  
In Transit ◽  
The Internet Of Things ◽  
Confidentiality And Privacy

The fields of computer science and electronics have merged to result into one of the most notable technological advances in the form of realization of the Internet of Things. The market for healthcare services has increased exponentially at the same time security flaws could pose serious threats to the health and safety of patients using wearable technologies and RFID. The volume and sensitivity of data traversing the IoT environment makes dangerous to messages and data could be intercepted and manipulated while in transit. This scenario must absolutely respect the confidentiality and privacy of patient's medical information. Therefore, this chapter presents various security issues or vulnerabilities with respect to attacks and various situations how information will be attacked by the attacker in healthcare IoT. The working principle of healthcare IoT also discussed. The chapter concludes the performance of various attacks based on the past work. In the future this work can be extended to introduce a novel mechanism to resolve various security issues in healthcare IoT.

IoT in Healthcare

2017 ◽  
pp. 174-188
Author(s):  
Somasundaram R ◽  
Mythili Thirugnanam
Keyword(s):  
Medical Information ◽  
Health And Safety ◽  
Healthcare Services ◽  
Wearable Technologies ◽  
Security Issues ◽  
Technological Advances ◽  
Working Principle ◽  
In Transit ◽  
The Internet Of Things ◽  
Confidentiality And Privacy

The fields of computer science and electronics have merged to result into one of the most notable technological advances in the form of realization of the Internet of Things. The market for healthcare services has increased exponentially at the same time security flaws could pose serious threats to the health and safety of patients using wearable technologies and RFID. The volume and sensitivity of data traversing the IoT environment makes dangerous to messages and data could be intercepted and manipulated while in transit. This scenario must absolutely respect the confidentiality and privacy of patient's medical information. Therefore, this chapter presents various security issues or vulnerabilities with respect to attacks and various situations how information will be attacked by the attacker in healthcare IoT. The working principle of healthcare IoT also discussed. The chapter concludes the performance of various attacks based on the past work. In the future this work can be extended to introduce a novel mechanism to resolve various security issues in healthcare IoT.

IoT Security Issues, Challenges, Threats, and Solutions in Healthcare Applications

2022 ◽  
pp. 104-130
Author(s):  
Sudhakar Hallur ◽  
Roopa Kulkarni ◽  
Prashant P. Patavardhan ◽  
Vishweshkumar Aithal
Keyword(s):  
Health Monitoring ◽  
Healthcare Services ◽  
Cyber Attacks ◽  
Healthcare Applications ◽  
Privacy And Security ◽  
Security Issues ◽  
Efficient Communication ◽  
Three Layer Architecture ◽  
Patient Health ◽  
The Internet Of Things

A majority of the applications now go wireless involving IoT as a technology to communicate to their respective destination. IoT is considered as a future of internet. The internet of things integration and efficient communication of the patient health monitoring parameters is the need of the hour in this pandemic. This chapter discusses the three-layer architecture involving hardware communication protocols supporting a layer of healthcare services and applications. Also, the data-guarantee, security and integrity issues, threats risks, and solutions involving deployment of efficient privacy, control, integration methods to confront various prominent and erroneous data manipulation techniques, malicious, and a series of cyber-attacks are proposed. The deployment of various efficient privacy and security protocols in IoT networks is of extreme need to ensure the confidentiality, access-control, authentication, and integrity of the health data transferred and to guarantee the availability of the services to the user at any point of time.

Athlete health and safety at large sport events: the development of consensus-driven guidelines

2020 ◽  
pp. bjsports-2020-102771
Author(s):  
Margo Mountjoy ◽  
Jane Moran ◽  
Hosny Ahmed ◽  
Stephane Bermon ◽  
Xavier Bigard ◽  
...  
Keyword(s):  
Knowledge Translation ◽  
Action Plan ◽  
Health And Safety ◽  
Healthcare Services ◽  
International Federation ◽  
Medical Services ◽  
Local Context ◽  
Sporting Events ◽  
Medical Risk ◽  
Sport Events

All sport events have inherent injury and illness risks for participants. Healthcare services for sport events should be planned and delivered to mitigate these risks which is the ethical responsibility of all sport event organisers. The objective of this paper was to develop consensus-driven guidelines describing the basic standards of services necessary to protect athlete health and safety during large sporting events. By using the Knowledge Translation Scheme Framework, a gap in International Federation healthcare programming for sport events was identified. Event healthcare content areas were determined through a narrative review of the scientific literature. Content experts were systematically identified. Following a literature search, an iterative consensus process was undertaken. The outcome document was written by the knowledge translation expert writing group, with the assistance of a focus group consisting of a cohort of International Federation Medical Chairpersons. Athletes were recruited to review and provide comment. The Healthcare Guidelines for International Federation Events document was developed including content-related to (i) pre-event planning (eg, sport medical risk assessment, public health requirements, environmental considerations), (ii) event safety (eg, venue medical services, emergency action plan, emergency transport, safety and security) and (iii) additional considerations (eg, event health research, spectator medical services). We developed a generic standardised template guide to facilitate the planning and delivery of medical services at international sport events. The organisers of medical services should adapt, evaluate and modify this guide to meet the sport-specific local context.

Study on Hazards Identification for the Life Cycle of Household Electric Blankets

2014 ◽  
Vol 968 ◽  
pp. 218-221
Author(s):  
Xia Liu ◽  
Hong Qi Luo ◽  
Rui Fu ◽  
He Liang Song
Keyword(s):  
Life Cycle ◽  
Health And Safety ◽  
Fault Tree Analysis ◽  
Hazard Identification ◽  
Quality And Safety ◽  
Effect Analysis ◽  
Structure Characteristics ◽  
Full Life Cycle ◽  
Working Principle ◽  
Full Life

Household electric blankets are widely used in China, but the problem of quality and safety is also more prominent, which is a serious threat to the health and safety of consumers. The structure characteristics and working principle of household electric blanket are analyzed. The hazards in the each stage of full life cycle are identified, including the stages of designing, manufacturing, packaging, transporting, utilizing and recycling. Hazard identification of each stage is made with methods of scenario analysis, safety check list, fault hypothesis analysis, hazard and operability analysis, failure mode and effect analysis and fault tree analysis, respectively.

Centralized, Distributed, and Everything in between

2022 ◽  
Vol 54 (7) ◽  
pp. 1-34
Author(s):  
Sophie Dramé-Maigné ◽  
Maryline Laurent ◽  
Laurent Castillo ◽  
Hervé Ganem
Keyword(s):  
Access Control ◽  
Future Research ◽  
The Internet ◽  
Research Directions ◽  
Security Issues ◽  
Security Properties ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Security Of Iot

The Internet of Things is taking hold in our everyday life. Regrettably, the security of IoT devices is often being overlooked. Among the vast array of security issues plaguing the emerging IoT, we decide to focus on access control, as privacy, trust, and other security properties cannot be achieved without controlled access. This article classifies IoT access control solutions from the literature according to their architecture (e.g., centralized, hierarchical, federated, distributed) and examines the suitability of each one for access control purposes. Our analysis concludes that important properties such as auditability and revocation are missing from many proposals while hierarchical and federated architectures are neglected by the community. Finally, we provide an architecture-based taxonomy and future research directions: a focus on hybrid architectures, usability, flexibility, privacy, and revocation schemes in serverless authorization.

Review in IoT for Healthcare in Our Life Engineering

2021 ◽  
Vol 18 (1) ◽  
pp. 9-20
Author(s):  
Bayadir Issa ◽  
Qabeela Thabit
Keyword(s):  
Internet Of Things ◽  
Healthcare Services ◽  
Technological Advancement ◽  
Enabling Technology ◽  
Significant Research ◽  
Previous Decade ◽  
Technology Services ◽  
The Many ◽  
Healthcare Expenses ◽  
The Internet Of Things

Over the previous decade, significant research has been conducted in the field of healthcare services and their technological advancement. To be more precise, the Internet of Things (IoT) has demonstrated potential for connecting numerous medical devices, sensors, and healthcare professionals in order to deliver high-quality medical services in remote locations. This has resulted in an increase in patient safety, a decrease in healthcare expenses, an increase in the healthcare services’ accessibility, and an increase in the industry’s healthcare operational efficiency. This paper provides an overview of the possible healthcare uses of Internet of Things (IoT)-based technologies. The evolution of the HIoT application has been discussed in this article in terms of enabling technology, services of healthcare, and applications for resolving different healthcare challenges. Additionally, effort difficulties and drawbacks with the HIoT system are explored. In summary, this study provides a complete source of information on the many applications of HIoT together the purpose is to help future academics who are interested in working in the field and making advances gain knowledge into the issue.

scholarly journals Medical Device Integration Model Based on the Internet of Things

2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Medical Device ◽  
Medical Devices ◽  
Medical Information ◽  
Medical Information System ◽  
The Internet ◽  
Model Based ◽  
Device Integration ◽  
The Internet Of Things

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices lack mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspection with the terminal device in a timely manner.

scholarly journals Cross-sectional telephone surveys as a tool to study epidemiological factors and monitor seasonal influenza activity in Malta

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
V. Marmara ◽  
D. Marmara ◽  
P. McMenemy ◽  
A. Kleczkowski
Keyword(s):  
Infectious Diseases ◽  
Seasonal Influenza ◽  
Medical Information ◽  
Healthcare Services ◽  
Reporting Rate ◽  
Google Trends ◽  
Activity Levels ◽  
Self Perception ◽  
Cross Sectional ◽  
The Public

Abstract Background Seasonal influenza has major implications for healthcare services as outbreaks often lead to high activity levels in health systems. Being able to predict when such outbreaks occur is vital. Mathematical models have extensively been used to predict epidemics of infectious diseases such as seasonal influenza and to assess effectiveness of control strategies. Availability of comprehensive and reliable datasets used to parametrize these models is limited. In this paper we combine a unique epidemiological dataset collected in Malta through General Practitioners (GPs) with a novel method using cross-sectional surveys to study seasonal influenza dynamics in Malta in 2014–2016, to include social dynamics and self-perception related to seasonal influenza. Methods Two cross-sectional public surveys (n = 406 per survey) were performed by telephone across the Maltese population in 2014–15 and 2015–16 influenza seasons. Survey results were compared with incidence data (diagnosed seasonal influenza cases) collected by GPs in the same period and with Google Trends data for Malta. Information was collected on whether participants recalled their health status in past months, occurrences of influenza symptoms, hospitalisation rates due to seasonal influenza, seeking GP advice, and other medical information. Results We demonstrate that cross-sectional surveys are a reliable alternative data source to medical records. The two surveys gave comparable results, indicating that the level of recollection among the public is high. Based on two seasons of data, the reporting rate in Malta varies between 14 and 22%. The comparison with Google Trends suggests that the online searches peak at about the same time as the maximum extent of the epidemic, but the public interest declines and returns to background level. We also found that the public intensively searched the Internet for influenza-related terms even when number of cases was low. Conclusions Our research shows that a telephone survey is a viable way to gain deeper insight into a population’s self-perception of influenza and its symptoms and to provide another benchmark for medical statistics provided by GPs and Google Trends. The information collected can be used to improve epidemiological modelling of seasonal influenza and other infectious diseases, thus effectively contributing to public health.

scholarly journals QUANTUM FOG CLOUD MODEL IN INTERNET OF THINGS WITH ANALYSIS OF GREEN COMPUTING

2017 ◽  
Vol 5 (1) ◽  
pp. 230-238
Author(s):  
Sayantan Gupta
Keyword(s):  
Internet Of Things ◽  
Cloud Model ◽  
Modern Society ◽  
Green Computing ◽  
Modern World ◽  
Security Issues ◽  
Proposed Model ◽  
Implementation Techniques ◽  
The Many ◽  
The Internet Of Things

The technology of Quantum Green Computing has been discussed in this paper. It also discusses the need of the many implementation techniques and approaches in relation with Fog-Cloud Computing. Moreover, we would like to introduce the latest algorithms like Stack Algorithm, Address Algorithm and many others which will help in the analysis of Green-Quantum Computing Technology in the modern society and would create a technological revolution. With the Internet of Things rising in the modern world time, new security issues have also been developed. So, our proposed Model the Fog-Things Model will help us to determine the security issues and indeed secure the entire IoT network.

Sign in / Sign up

Export Citation Format

Share Document