Integrating M-Health with IoMT to Counter COVID-19

Sharma, Devansh; Nawab, A.; Alam, Mansaf

doi:10.1007/978-981-15-8534-0_20

Cited by 11 publications

(5 citation statements)

References 31 publications

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“…In the past, some researchers briefly summarised the robotic applications during a pandemic [ [2] , [3] , [4] , [5] ]. Khan et al [ 6 ] classified the robot utilisations in healthcare in different categories, including receptionist, nurse, ambulance, telemedicine, serving, cleaning, spraying/disinfestation, surgical, radiologist, rehabilitation, food, and outdoor delivery robots.…”

Section: Introductionmentioning

confidence: 99%

A literature survey of the robotic technologies during the COVID-19 pandemic

Wang

2021

Journal of Manufacturing Systems

195

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Since the late 2019, the COVID-19 pandemic has been spread all around the world. The pandemic is a critical challenge to the health and safety of the general public, the medical staff and the medical systems worldwide. It has been globally proposed to utilise robots during the pandemic, to improve the treatment of patients and leverage the load of the medical system. However, there is still a lack of detailed and systematic review of the robotic research for the pandemic, from the technologies’ perspective. Thus a thorough literature survey is conducted in this research and more than 280 publications have been reviewed, with the focus on robotics during the pandemic. The main contribution of this literature survey is to answer two research questions, i.e. 1) what the main research contributions are to combat the pandemic from the robotic technologies’ perspective, and 2) what the promising supporting technologies are needed during and after the pandemic to help and guide future robotics research. The current achievements of robotic technologies are reviewed and discussed in different categories, followed by the identification of the representative work’s technology readiness level. The future research trends and essential technologies are then highlighted, including artificial intelligence, 5 G, big data, wireless sensor network, and human-robot collaboration.

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Section: Introductionmentioning

confidence: 99%

A literature survey of the robotic technologies during the COVID-19 pandemic

Wang

2021

Journal of Manufacturing Systems

195

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“…Technological innovations having higher compatibility with the users’ social and personal status were more likely to be accepted [ 41 ]. For example, the high compatibility of mobile phones was perceived due to low effort and fitting their lifestyles, thus making it the most widely adopted technology in society in a COVID-19 context where social distancing is highly encouraged [ 27 ]. Previous studies have shown that compatibility was associated with the behavioral intention to utilize various mobile-based facilities such as mobile apps [ 35 ].…”

Section: Theories and Hypothesis Developmentmentioning

confidence: 99%

“…Unfortunately, the trialability of the app has completely failed and early adopters uninstalled it after a few weeks due to its ineffectiveness [ 26 ]. The main challenges stem from technical, usability, and privacy issues, and requirements reported by some users outweigh potential benefits [ 27 , 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Strengthening the Trialability for the Intention to Use of mHealth Apps Amidst Pandemic: A Cross-Sectional Study

Jilani¹,

Moniruzzaman²,

Dey

et al. 2022

IJERPH

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Recent advancements in mHealth apps and services have played a vital role in strengthening healthcare services and enabling their accessibility to marginalized people. With the alarming rise in COVID-19 infection rates around the world, there appears to be an urgent call to modernize traditional medical practices to combat the pandemic. This study aims to investigate the key factors influencing the trialability of mHealth apps/services and behavioral intention to adopt mobile health applications. The study also examines the moderating effects of self-discipline motivation, knowledge, and attitude on the relationship between trialability and behavioral intention to use. The deductive reasoning approach was followed in a positivism paradigm. The study used convenience sampling and collected responses from 280 Generation Y participants in Bangladesh. Partial least square-based structural equation modeling was employed. The results revealed that relative advantage (β = 0.229, p < 0.05), compatibility (β = 0.232, p < 0.05), complexity (β = −0.411, p < 0.05), and observability (β = 0.235, p < 0.05) of mHealth apps influence the trialability of mHealth apps and services among users. Trialability compatibility (β = 0.425, p < 0.05) of mHealth was positively related to the behavioral intention to use these mobile apps. The study found no moderating effects of attitude (β = 0.043, p > 0.05) or self-discipline motivation (β = −0.007, p > 0.05) on the hypothesized relationships. The empirical findings of this study may facilitate the development, design process, and implementation of mHealth applications with improved features that can lead to high user acceptance among Generation Y during future health crises.

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“…In [4], authors explains the relation between emergent technologies and the requirements within medical science. The technologies considered are Wearable and Ingestible Sensory devices, robotics, Cognitive Radio System, mobile phones as well as 5G technologies.…”

Section: Related Workmentioning

confidence: 99%

Connected Medical Kiosks to Counter COVID-19: Needs, Architecture & Design Guidelines

Fourati

Rekhis

Ayed

et al. 2021

2021 International Wireless Communications and Mobile Computing (IWCMC)

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In several countries, the connected systems and especially the Internet of Medical Things (IoMT) based systems has been deployed with other advanced technologies to counter and to mitigate the spread of the coronavirus disease 2019 known as (COVID-19) and to smooth the severity of the pandemic. Accordingly, many IoMT-based systems merged with the use of blockchain, artificial intelligence and big data analytics proposed and adopted by diverse countries and governments to counter COVID-19 pandemic. In this context, this paper highlights the needs, the architecture, the design guidelines and the provided services related to our proposed system named (CMK-COVID: Connected Medical Kiosks to Counter COVID-19). Besides that, this paper offers useful insights into the literature related IoMTbased solutions countering COVID-19.

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Integrating M-Health with IoMT to Counter COVID-19

Cited by 11 publications

References 31 publications

A literature survey of the robotic technologies during the COVID-19 pandemic

A literature survey of the robotic technologies during the COVID-19 pandemic

Strengthening the Trialability for the Intention to Use of mHealth Apps Amidst Pandemic: A Cross-Sectional Study

Connected Medical Kiosks to Counter COVID-19: Needs, Architecture & Design Guidelines

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