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Book part
Publication date: 28 September 2023

Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, Premkumar Chithaluru and Ankita Tiwari

This research focuses on the challenges of establishing a better medical system that can detect and diagnose diseases earlier. Using such cutting-edge health systems, healthcare…

Abstract

This research focuses on the challenges of establishing a better medical system that can detect and diagnose diseases earlier. Using such cutting-edge health systems, healthcare practitioners may quickly and effectively manage patients’ medical issues by providing the appropriate data at the right time about the right people. The advancement of technology has increased the usefulness of devices that routinely analyse health measurements or monitoring time-sensitive health-related data. Medical professionals and patients alike are downloading health-related mobile apps to better track and manage their health. The research evidences how Internet of Things (IoT) technology may be used to support health care.

Details

Digital Transformation, Strategic Resilience, Cyber Security and Risk Management
Type: Book
ISBN: 978-1-80455-262-9

Keywords

Article
Publication date: 19 May 2022

Priyanka Kumari Bhansali, Dilendra Hiran and Kamal Gulati

The purpose of this paper is to secure health data collection and transmission (SHDCT). In this system, a native network consists of portable smart devices that interact with…

Abstract

Purpose

The purpose of this paper is to secure health data collection and transmission (SHDCT). In this system, a native network consists of portable smart devices that interact with multiple gateways. It entails IoMT devices and wearables connecting to exchange sensitive data with a sensor node which performs the aggeration process and then communicates the data using a Fog server. If the aggregator sensor loses the connection from the Fog server, it will be unable to submit data directly to the Fog server. The node transmits encrypted information with a neighboring sensor and sends it to the Fog server integrated with federated learning, which encrypts data to the existing data. The fog server performs the operations on the measured data, and the values are stored in the local storage area and later it is updated to the cloud server.

Design/methodology/approach

SHDCT uses an Internet-of-things (IoT)-based monitoring network, making it possible for smart devices to connect and interact with each other. The main purpose of the monitoring network has been in the collection of biological data and additional information from mobile devices to the patients. The monitoring network is composed of three different types of smart devices that is at the heart of the IoT.

Findings

It has been addressed in this work how to design an architecture for safe data aggregation in heterogeneous IoT-federated learning-enabled wireless sensor networks (WSNs), which makes use of basic encoding and data aggregation methods to achieve this. The authors suggest that the small gateway node (SGN) captures all of the sensed data from the SD and uses a simple, lightweight encoding scheme and cryptographic techniques to convey the data to the gateway node (GWN). The GWN gets all of the medical data from SGN and ensures that the data is accurate and up to date. If the data obtained is trustworthy, then the medical data should be aggregated and sent to the Fog server for further processing. The Java programming language simulates and analyzes the proposed SHDCT model for deployment and message initiation. When comparing the SHDCT scheme to the SPPDA and electrohydrodynamic atomisation (EHDA) schemes, the results show that the SHDCT method performs significantly better. When compared with the SPPDA and EHDA schemes, the suggested SHDCT plan necessitates a lower communication cost. In comparison to EHDA and SPPDA, SHDCT achieves 4.72% and 13.59% less, respectively. When compared to other transmission techniques, SHDCT has a higher transmission ratio. When compared with EHDA and SPPDA, SHDCT achieves 8.47% and 24.41% higher transmission ratios, respectively. When compared with other ways it uses less electricity. When compared with EHDA and SPPDA, SHDCT achieves 5.85% and 18.86% greater residual energy, respectively.

Originality/value

In the health care sector, a series of interconnected medical devices collect data using IoT networks in the health care domain. Preventive, predictive, personalized and participatory care is becoming increasingly popular in the health care sector. Safe data collection and transfer to a centralized server is a challenging scenario. This study presents a mechanism for SHDCT. The mechanism consists of Smart healthcare IoT devices working on federated learning that link up with one another to exchange health data. Health data is sensitive and needs to be exchanged securely and efficiently. In the mechanism, the sensing devices send data to a SGN. This SGN uses a lightweight encoding scheme and performs cryptography techniques to communicate the data with the GWN. The GWN gets all the health data from the SGN and makes it possible to confirm that the data is validated. If the received data is reliable, then aggregate the medical data and transmit it to the Fog server for further process. The performance parameters are compared with the other systems in terms of communication costs, transmission ratio and energy use.

Details

International Journal of Pervasive Computing and Communications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 29 January 2020

Chao Fu, Qing Lv and Reza G. Badrnejad

Fog computing (FC) is a new field of research and has emerged as a complement to the cloud, which can mitigate the problems inherent to the cloud computing (CC) and internet of

Abstract

Purpose

Fog computing (FC) is a new field of research and has emerged as a complement to the cloud, which can mitigate the problems inherent to the cloud computing (CC) and internet of things (IoT) model such as unreliable latency, bandwidth constraints, security and mobility. Because there is no comprehensive study on the FC in health management processing systems techniques, this paper aims at surveying and analyzing the existing techniques systematically as well as offering some suggestions for upcoming works.

Design/methodology/approach

The paper complies with the methodological requirements of systematic literature reviews (SLR). The present paper investigates the newest systems and studies their practical techniques in detail. The applications of FC in health management systems have been categorized into three major groups, including review articles, data analysis, frameworks and models mechanisms.

Findings

The results have indicated that despite the popularity of FC as having real-time processing, low latency, dynamic configuration, scalability, low reaction time (less than a second), high bandwidth, battery life and network traffic, a few issues remain unanswered, such as security. The most recent research has focused on improvements in remote monitoring of the patients, such as less latency and rapid response. Also, the results have shown the application of qualitative methodology and case study in the use of FC in health management systems. While FC studies are growing in the clinical field, CC studies are decreasing.

Research limitations/implications

This study aims to be comprehensive, but there are some limitations. This research has only surveyed the articles that are mined, according to a keyword exploration of FC health, FC health care, FC health big data and FC health management system. Fog-based applications in the health management system may not be published with determined keywords. Moreover, the publications written in non-English languages have been ignored. Some important research studies may be printed in a language other than English.

Practical implications

The results of this survey will be valuable for academicians, and these can provide visions into future research areas in this domain. This survey helps the hospitals and related industries to identify FC needs. Moreover, the disadvantages and advantages of the above systems have been studied, and their key issues have been emphasized to develop a more effective FC in health management processing mechanisms over IoT in the future.

Originality/value

Previous literature review studies in the field of SLR have used a simple literature review to find the tasks and challenges in the field. In this study, for the first time, the FC in health management processing systems is applied in a systematic review focused on the mediating role of the IoT and thereby provides a novel contribution. An SLR is conducted to find more specific answers to the proposed research questions. SLR helps to reduce implicit researcher bias. Through the adoption of broad search strategies, predefined search strings and uniform inclusion and exclusion criteria, SLR effectively forces researchers to search for studies beyond their subject areas and networks.

Details

Kybernetes, vol. 49 no. 12
Type: Research Article
ISSN: 0368-492X

Keywords

Open Access
Book part
Publication date: 4 June 2021

Julia Slupska and Leonie Maria Tanczer

Technology-facilitated abuse, so-called “tech abuse,” through phones, trackers, and other emerging innovations, has a substantial impact on the nature of intimate partner violence…

Abstract

Technology-facilitated abuse, so-called “tech abuse,” through phones, trackers, and other emerging innovations, has a substantial impact on the nature of intimate partner violence (IPV). The current chapter examines the risks and harms posed to IPV victims/survivors from the burgeoning Internet of Things (IoT) environment. IoT systems are understood as “smart” devices such as conventional household appliances that are connected to the internet. Interdependencies between different products together with the devices' enhanced functionalities offer opportunities for coercion and control. Across the chapter, we use the example of IoT to showcase how and why tech abuse is a socio-technological issue and requires not only human-centered (i.e., societal) but also cybersecurity (i.e., technical) responses. We apply the method of “threat modeling,” which is a process used to investigate potential cybersecurity attacks, to shift the conventional technical focus from the risks to systems toward risks to people. Through the analysis of a smart lock, we highlight insufficiently designed IoT privacy and security features and uncover how seemingly neutral design decisions can constrain, shape, and facilitate coercive and controlling behaviors.

Details

The Emerald International Handbook of Technology-Facilitated Violence and Abuse
Type: Book
ISBN: 978-1-83982-849-2

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Article
Publication date: 5 March 2018

Peter Kokol, Kaija Saranto and Helena Blažun Vošner

The rapid development of eHealth requires the extension of existing health informatics competences sets. These competences are needed not only by health-care professionals but…

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Abstract

Purpose

The rapid development of eHealth requires the extension of existing health informatics competences sets. These competences are needed not only by health-care professionals but also by health-care consumers. The purpose of this paper is to analyse literature production of health informatics and eHealth competences/skills (EHCS).

Design/methodology/approach

Bibliometric analysis and mapping have been used as a form of distant reading approach in the manner to perform thematic analysis, identify gaps in knowledge and predict future trends.

Findings

This study shows that the literature production of health informatics and EHCS differs in bibliometric indicators, as well as in research content. Thematic analysis showed that medicine is the most productive subject area in both fields. However, health informatics competencies/skills are more oriented toward education, nursing, electronic health record and evidence-based practice, while EHCS cover health information technology, engineering, computer science and patient-centred care. The literature research production exhibits positive trend and is geographically widespread in both fields.

Research limitations/implications

The use of Scopus database might have led to different results if the authors had used Web of Science or Medline, because of the fact that different databases cover different lists of source titles. The authors used various search strings, and the most optimal one for their study; however, a different search string might result in slightly different outcomes. In addition, the thematic analysis has been performed on information source abstracts and titles only, as the analysis of full texts (if available) could lead to different results. Despite the fact that the thematic analysis has been performed by three researchers with different scientific backgrounds, the results of the analysis are subjective. On the other hand, the bibliometric analyses and comparison of health informatics and eHealth competences have never been done before and this study revealed some important gaps in research in both fields.

Practical implications

The World Health Organization defined four distinct but related components of eHealth: mobile health, health information systems, telemedicine and distance learning. While the research in telemedicine and health information systems seems to be well covered, the skills and competencies in mobile health and distant learning should be researched more extensively.

Social implications

More research in the skills and competencies associated with so-called connected health, a new subfield in eHealth research, is needed. The skills and competencies of how to better implement and use the services related to the management of chronic diseases, health coproduction and how to implement eHealth in developing countries are currently under research areas and with candidates for future research. For both health informatics competencies/skills and EHCS, we noted that more research is needed for personalised medicine, health coproduction, smart health, internet of things, internet of services and intelligent health systems.

Originality/value

The literature production on health informatics and EHCS has been analysed for the first time and been compared in a systemic way, using bibliometrics. The results reveal that current research directions as well as knowledge gaps could thus provide guidelines for further research.

Details

Kybernetes, vol. 47 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

Book part
Publication date: 19 July 2023

Samrat Ray, Elena Viktorovna Korchagina, Rohini U. Nikam and Roop Kishore Singhal

This chapter proposes a new architecture to address challenges to security and the privacy in e-healthcare under Industry 5.0. With the growing needs for high-quality medical…

Abstract

This chapter proposes a new architecture to address challenges to security and the privacy in e-healthcare under Industry 5.0. With the growing needs for high-quality medical treatment and the continuously growing costs of treating global medical problems, systems and web-based medical care are regarded as innovative solutions. In particular, the new progress in Internet of Things (IoT) has led to the development of Internet of Medical Things (IoMT). The patient history data is handled and processed remotely in real-time rather than visiting any clinic and then having that data transferred for subsequent use to third parties, such as data that gets saved in the cloud. This patient data faced security threats and it is observed as major limitations of using such systems in Industry 5.0. This chapter analyzes the security and secrecy challenges, together with the necessities, the danger involved and proposed secured blockchain-based framework which is capable of future research scope in Industry 5.0. The study has described an Eye Hospital case study that stores the eye donors’ details. With such critical scenario, this study addresses healthcare scenario with poverty-led agenda and social developmental features.

Details

Inclusive Developments Through Socio-economic Indicators: New Theoretical and Empirical Insights
Type: Book
ISBN: 978-1-80455-554-5

Keywords

Article
Publication date: 24 February 2022

Shunbin Zhong, Xiaohua Shen, Weiteng Shen and Chongchong Xin

Utilizing data from the 2017 Chinese General Social Survey (CGSS2017), the paper aims to investigate the impact of information and communication technology (ICT) adoption on…

Abstract

Purpose

Utilizing data from the 2017 Chinese General Social Survey (CGSS2017), the paper aims to investigate the impact of information and communication technology (ICT) adoption on residents' self-rated health and reveals the mechanisms behind ICT.

Design/methodology/approach

In the study, ICT adoption is defined as a dummy variable, which takes the value of one if respondents adopt the computers or mobile phone. Meanwhile, respondents' perceptions on five categories of self-rated health are used to construct the dependent variable. Then, based on a fixed-effects regression model, the ordinary least squares (OLS) and ordered probit approaches are applied to estimate their association. Moreover, the two-stage least squares (2SLS) and instrumental variable (IV)-oprobit methods are used to tackle the potential endogeneity of ICT adoption. Finally, the heterogeneity across individuals and regions as well as the underlying mechanisms are discussed.

Findings

The results indicate that ICT adoption significantly improves residents' self-rated health, which confirms the health utility model with ICT adoption. The conclusion is robust after overcoming the endogeneity issues with IV. In addition, heterogeneity analysis shows that ICT adoption is more beneficial to the health of residents who are male, young, better educated and those who live in the rural areas and in central and western China. Furthermore, the study demonstrates that ICT adoption for searching health-related information and improving social capital are two crucial mechanisms underlying its health effects.

Practical implications

The findings of this research can help Chinese Government improve population health by issuing corresponding digital and health policies at the regional and individual level.

Originality/value

First, the study provides fresh microscopic evidence on health outcomes of ICT adoption based on data from the latest wave of CGSS2017. Second, individual and regional heterogeneity is extensively discussed in contrast to most related macro studies that consider average effects. Third, the study addresses underlying mechanisms that have not been thoroughly tested or studied primarily on a theoretical level.

Details

Kybernetes, vol. 52 no. 9
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 13 March 2020

Ning Zou, Shaobo Liang and Daqing He

The Internet of Things (IoT), which enables smart objects to collect and exchange data, has a variety of application domains used in everyday life including healthcare. As a set of

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Abstract

Purpose

The Internet of Things (IoT), which enables smart objects to collect and exchange data, has a variety of application domains used in everyday life including healthcare. As a set of promising next-generation technologies in the healthcare domain, Healthcare-related Internet of Things (H-IoT) promises to facilitate better healthcare by offering data-driven insights. While effective in practice at large, emerging data concerns arise because of the inscrutable black-box systems. Inspired by the notion of human data interaction, this paper seeks to understand how people engage with the H-IoT data that is about and produced by themselves and to elucidate the main data issues and challenges involved in the development of H-IoT.

Design/methodology/approach

This work conducted a comprehensive survey and integrated the method of content analysis by systematically review the recently published H-IoT research work in the healthcare domain.

Findings

This study thoroughly surveyed more than 300 research studies published in the last decades and classified seven H-IoT end-user groups, and three H-IoT data types that are important to H-IoT comprehension. Attention to human data interaction, our study also highlights several critical issues associated with this notion in the context of H-IoT.

Originality/value

This study will support H-IoT research by characterizing the data issues and challenges exist in the context of H-IoT user and data interaction. The findings will provide insights in designing for effective interactions with data in the H-IoT.

Details

Library Hi Tech, vol. 38 no. 4
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 29 December 2021

Daniele Binci, Gabriele Palozzi and Francesco Scafarto

Digital transformation (DT) is a priority for the healthcare sector. In many countries, it is still considered in the early stages with an underestimation of its benefits and…

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Abstract

Purpose

Digital transformation (DT) is a priority for the healthcare sector. In many countries, it is still considered in the early stages with an underestimation of its benefits and potentiality. Especially in Italy, little is known about the impact of digitalization – particularly of the Internet of Things (IoT) – on the healthcare sector, for example, in terms of clinician's jobs and patient's experience. Drawing from such premises, the paper aims to focus on an overlooked healthcare area related to the chronic heart diseases field and its relationship with DT. The authors aim at exploring and framing the main variables of remote Monitoring (RM) adoption as a specific archetype of healthcare digitalization, both on patients and medical staff level, by shedding some lights on its overall implementation.

Design/methodology/approach

The authors empirically inquiry the RM adoption within the context of the Cardiology Department of the Casilino General Hospital of Rome. To answer our research question, the authors reconstruct the salient information by using induction-type reasoning, direct observation and interviewees with 12 key informants, as well as secondary sources analysis related to the hospital (internal documentation, presentations and technical reports).

Findings

According to a socio-technical framework, the authors build a model composed of five main variables related to medical staff and patients. The authors classify such variables into an input-process-output (I-P-O) model. RM adoption driver represents the input; cultural digital divide, structure flexibility and reaction to change serve the process and finally, RM outcome stands for the output. All these factors, interacting together, contribute to understanding the RM adoption process for chronic disease management.

Research limitations/implications

The authors' research presents two main limitations. The first one is related to using a qualitative method, which is less reliable in terms of replication and the interpretive role of researchers. The second limitation, connected to the first one, is related to the study's scale level, which focuses on a mono-centric consistent level of analysis.

Practical implications

The paper offers a clear understanding of the RM attributes and a comprehensive view for improving the overall quality management of chronic diseases by suggesting that clinicians carefully evaluate both hard and soft variables when undertaking RM adoption decisions.

Social implications

RM technologies could impact on society both in ordinary situations, by preventing patient mobility issues and transport costs, and in extraordinary times (such as a pandemic), where telemedicine contributes to supporting hospitals in swapping in-person visits with remote controls, in order to minimize the risk of coronavirus disease (COVID-19) contagion or the spread of the virus.

Originality/value

The study enriches the knowledge and understanding of RM adoption within the healthcare sector. From a theoretical perspective, the authors contribute to the healthcare DT adoption debate by focusing on the main variables contributing to the DT process by considering both medical staff and patient's role. From a managerial perspective, the authors highlight the main issues for RM of chronic disease management to enable the transition toward its adoption. Such issues range from the need for awareness of the medical staff about RM advantages to the need for adapting the organizational structure and the training and education process of the patients.

Article
Publication date: 21 October 2022

Mohammad Hossein Ronaghi

The fourth industrial revolution and digital transformation have caused paradigm changes in the procedures of goods production and services through disruptive technologies, and…

Abstract

Purpose

The fourth industrial revolution and digital transformation have caused paradigm changes in the procedures of goods production and services through disruptive technologies, and they have formed new methods for business models. Health and medicine fields have been under the effect of these technology advancements. The concept of smart hospital is formed according to these technological transformations. The aim of this research, other than explanation of smart hospital components, is to present a model for evaluating a hospital readiness for becoming a smart hospital.

Design/methodology/approach

This research is an applied one, and has been carried out in three phases and according to design science research. Based on the previous studies, in the first phase, the components and technologies effecting a smart hospital are recognized. In the second phase, the extracted components are prioritized using type-2 fuzzy analytic hierarchical process based on the opinion of experts; later, the readiness model is designed. In the third phase, the presented model would be tested in a hospital.

Findings

The research results showed that the technologies of internet of things, robotics, artificial intelligence, radio-frequency identification as well as augmented and virtual reality had the most prominence in a smart hospital.

Originality/value

The innovation and originality of the forthcoming research is to explain the concept of smart hospital, to rank its components and to provide a model for evaluating the readiness of smart hospital. Contribution of this research in terms of theory explains the concept of smart hospital and in terms of application presents a model for assessing the readiness of smart hospitals.

Details

Journal of Science and Technology Policy Management, vol. 15 no. 2
Type: Research Article
ISSN: 2053-4620

Keywords

1 – 10 of over 22000