Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data

Jaber, Mustafa Musa; Alameri, Thamer; Ali, Mohammed Hasan; Alsyouf, Adi; Al‐Bsheish, Mohammad; Aldhmadi, Badr K.; Ali, Sarah Yahya; Khalil, Sura; Ali, S.M. Farouq; Albaker, Waleed; Jarrar, Mu’taman

doi:10.3390/s22031205

Cited by 48 publications

(27 citation statements)

References 31 publications

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“…This study minimises the literature gap concerning the relationships between constructs and acceptance of exposure detection apps, including social media awareness, perceived privacy, with social influence and trust in government as new exogenous predictors of TAM among Saudi citizens’ use of the apps. According to Jaber et al [ 149 ], the major public health challenges for technologies in the current times are related to COVID-19 health monitoring and management.…”

Section: Discussionmentioning

confidence: 99%

Exposure Detection Applications Acceptance: The Case of COVID-19

Alsyouf

Lutfi

Al‐Bsheish³

et al. 2022

IJERPH

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The pandemic’s context is rife with numerous dangerous threats and high fear levels, influencing human decision-making. Such characteristics are identified by investigating the acceptance of exposure detection apps from the technology acceptance model (TAM) perspective. This study purposed a model to investigate protection technology acceptance, specifically exposure detection apps in the context of COVID-19. Quantitative study approach and a cross-section design targeted 586 participants from Saudi Arabia. As the study model is complex, the study hypotheses were analysed using the structural equation modelling–partial least squares (SEM-PLS3) approach. The findings support the entire model hypothesis except the link between social media awareness and exposure detection apps’ intention. Mediation of COVID-19 anxiety and influence was confirmed as well. The current paper contributes to the technologies acceptance domain by developing a context-driven model comprising the major pandemic characteristics that lead to various patterns of technology acceptance. This study also fills the literature gap regarding mediating effects of social influence and COVID-19 anxiety in the relationship between trust in government and exposure detection apps implementation, and between COVID-19 anxiety and exposure detection apps implementation, respectively. The results may assist government agencies, health policymakers, and health organisations in the wide world and specifically Saudi Arabia, in their attempts to contain the COVID-19 pandemic spread.

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Section: Discussionmentioning

confidence: 99%

Exposure Detection Applications Acceptance: The Case of COVID-19

Alsyouf

Lutfi

Al‐Bsheish³

et al. 2022

IJERPH

Self Cite

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“…Such technological advancements are related to the use of information technology (IT) and information system (IS) applications and methods as a result of which business changes have been innumerable. Thus, IT/IS usage can pave the way for opportunities and benefits for both large and medium-sized (SMEs) businesses [6,7]. SMEs have jumped on the bandwagon of businesses searching for new methods to improve their productivity and maintain their competitiveness [8,9].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the D&M IS Success Model in the Context of Accounting Information System and Sustainable Decision Making

et al. 2022

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The Accounting Information System (AIS) is generally employed for the automation of operational processes and the enhancement of company efficiencies, but more recently, AIS developments have had a great effect on the process of sustainable decision-making among organizations. However, previous research on the AIS and its capabilities attributed its success to critical success factors. Therefore, in the current work, De Lone and Mc Lean’s Information System (D&M IS) Success Model is evaluated in terms of AIS in Jordanian organizations. The current study primarily aimed to determine the influence of system quality, service quality, information quality, system use and user satisfaction on AIS use, which is argued to eventually enhance the quality and sustainability of decision-making. The study employed a quantitative approach using a self-administered questionnaire for data collection involving 101 decision-makers who are familiar with AIS usage. Following the collection of data, it was validated using Structural Equation Modeling (SEM)—PLS. Based on the obtained results, system quality and information quality significant affected system use, but service quality did not. In turn, AIS was found to have a significant effect on user satisfaction. Furthermore, system use and user satisfaction had positive effects on AIS, which eventually affected the sustainability of decision-making, representing the net AIS benefits. The study contributes to existing IS literature, particularly in the field of determining the factors that influence the AIS net benefits, with the proposed model validated in Jordanian organizations using AIS. The study can be used as a guide to shed light on the importance of AIS and it also provides implications, limitations and opportunities for future studies.

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“…Despite this, the use of these tools in large, complex health systems is still relatively limited. To make digital health tools more accessible to people throughout an enterprise, it is imperative to introduce strategies to address the challenge of digital health tool adoption and implementation; and to help tools move from being validated to being incorporated into workflows for a large health system [ 1 , 2 ].…”

Section: Introductionmentioning

confidence: 99%

The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses

Alsyouf

Ishak

Lutfi

et al. 2022

IJERPH

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This study examines nurses’ Continuance Intention (CI) to use electronic health records (EHRs) through a combination of three conceptual frameworks: the Unified Theory of Acceptance and Use of Technology (UTAUT), the theory of expectation-confirmation (ECT), and the Five-Factor Model (FFM). A model is developed to examine and predict the determinants of nurses’ CI to use EHRs, including top management support (TMS) and the FFM’s five personality domains. Data were collected from a survey of 497 nurses, which were analyzed using partial least squares. No significant relationship was found between TMS and CI. The study revealed that performance expectancy significantly mediated the influences of two different hypotheses of two predictors: agreeableness and openness to testing CI. A significant moderating impact of conscientiousness was found on the relationship between performance expectancy and CI and the relationship between social influence and CI. The findings of this study indicated that rigorous attention to the personality of individual nurses and substantial TMS could improve nurses’ CI to use EHRs. A literature gap was filled concerning the mediating effects of performance expectancy on the FFM-CI relationship, and the moderation effects of Conscientiousness on UTAUT constructs and CI are another addition to the literature. The results are expected to assist government agencies, health policymakers, and health institutions all over the globe in their attempts to understand the post-adoption use of EHRs.

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Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data

Cited by 48 publications

References 31 publications

Exposure Detection Applications Acceptance: The Case of COVID-19

Exposure Detection Applications Acceptance: The Case of COVID-19

Evaluating the D&M IS Success Model in the Context of Accounting Information System and Sustainable Decision Making

The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses

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