Tele-COVID: A Telemedicine SOA-based Architectural Design for COVID-9 Patients

AlReshan, Asadullah Shaikh Mana Saleh; Asiri, Yousef; Sulaiman, Adel; Alshahrani, Hani

doi:10.32604/cmc.2021.014813

Cited by 9 publications

(2 citation statements)

References 28 publications

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“…According to a review by Sood et al [ 233 ], which included 104 publications, telemedicine “...uses communications networks for delivery of health care services and medical education from one geographical location to another, primarily to address challenges like uneven distribution and shortage of infrastructural and human resources.” The category system includes 5 mayor categories and subcategories for which we assessed all 49 telemedical interventions included in our review [ 45 , 47 , 50 , 51 , 60 , 61 , 63 , 65 , 66 , 71 , 85 , 92 , 100 , 101 , 109 , 110 , 115 , 116 , 118 , 119 , 124 , 129 , 134 , 141 , 142 , 145 , 146 , 149 , 151 , 155 , 156 , 159 , 164 , 165 , 174 , 176 , 178 , 179 , 184 , 189 , 193 , 200 , 204 , 206 , 209 - 212 , 227 ]. The results are displayed in Table 3 .…”

Section: Resultsmentioning

confidence: 99%

Mapping Digital Public Health Interventions Among Existing Digital Technologies and Internet-Based Interventions to Maintain and Improve Population Health in Practice: Scoping Review

Maaß,

Angoumis,

Freye

et al. 2024

J Med Internet Res

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Background:The rapid progression and integration of digital technologies into public health have reshaped the global landscape of healthcare delivery and disease prevention. In pursuit of better population health and healthcare accessibility, many countries have integrated digital interventions into their healthcare systems, such as online consultations, electronic health records, and telemedicine. Despite the increasing prevalence and relevance of digital technologies in public health and their varying definitions, there has been a shortage of studies examining whether these technologies align with the established definition and core characteristics of digital public health (DiPH) interventions. Hence, the imperative need for a scoping review emerges to explore the breadth of literature dedicated to this subject.Objective: This scoping review aims to outline DiPH interventions from different implementation stages for health promotion, primary to tertiary prevention, including healthcare and disease surveillance and monitoring. Additionally, we aim to map the reported intervention characteristics, including their technical features and non-technical elements.Methods: Original studies or reports of DiPH intervention focused on population health were eligible for this review. PubMed, Web of Science, the Cochrane Central Register of Controlled Trials, IEEE Xplore, and the ACM Full-text collection were searched for relevant literature (last updated October 5, 2022). Intervention characteristics of each identified DiPH intervention, such as target groups, level of prevention or healthcare, digital health functions, intervention types, and public health functions, were extracted and used to map DiPH interventions. MAXQDA 2022.7 was used for qualitative data analysis of such interventions' technical functions and non-technical characteristics. Results:In total, we identified and screened 15,701 records. Of these, 1,562 full-texts were considered relevant and were assessed for eligibility. Finally, we included 185 references, which reported 179 different DiPH interventions. Our analysis revealed a diverse landscape of interventions, with telemedical services, health apps, and electronic health records as dominant types. These interventions target a wide range of populations and settings, demonstrating their adaptability. The analysis highlighted the multifaceted nature of digital interventions, necessitating precise definitions and standardized terminologies for effective collaboration and evaluation.

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Section: Resultsmentioning

confidence: 99%

Mapping Digital Public Health Interventions Among Existing Digital Technologies and Internet-Based Interventions to Maintain and Improve Population Health in Practice: Scoping Review

Maaß,

Angoumis,

Freye

et al. 2024

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…Faculty pre-record their lectures, post their PowerPoint presentations and notes without further engagement in many asynchronous environments or courses [76,77]. Faculty do not exhibit adequate emotional and empathetic interest in the professional and personal development of their students leading to diminished interest in courses and the field [78]. Faculty assign less collaborative/group projects that lower levels of belonging and commitment to the course among students, a feature that has been demonstrated to enhance retention, completion and success [79,80].…”

Section: Faculty Engagement and The Global Pandemicmentioning

confidence: 99%

Implementation of Virtual Training: The Example of a Faculty of Computer Science during COVID-19 for Sustainable Development in Engineering Education

et al. 2022

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Research on faculty engagement in computer science and e-learning environments is limited. Students in computer science majors and courses often cite the lack of engagement of their faculty as a reason for their decision to switch majors, drop out or perform poorly. With the shift to e-learning associated with the current global pandemic, reports of faculty engagement across countries and higher education systems converged to indicate a reduced level of interactivity. Using a cross-sectional sample of 39 lecturers and professors from a southern public university in Saudi Arabia, this manuscript documents empirically the low levels of computer science faculty engagement during the 2020 spring semester (March–May). The study found support for the hypotheses linking higher levels of empathetic instruction, an exhibition of exemplary performance traits, utilization of community building strategies and use of storytelling and students’ engagement. The study also found that many faculties need immediate and significant training on making their online instruction more interactive and exciting. Theoretically, the evidence presented confirms the importance of faculty engagement as the main predictor of desirable students’ outcomes across e-learning, as well as computer science learning environments.

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Prediction Model of Adverse Effects on Liver Functions of COVID-19 ICU Patients

Mashraqi

Halawani

Alelyani

et al. 2022

Journal of Healthcare Engineering

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SARS-CoV-2 is a recently discovered virus that poses an urgent threat to global health. The disease caused by this virus is termed COVID-19. Death tolls in different countries remain to rise, leading to continuous social distancing and lockdowns. Patients of different ages are susceptible to severe disease, in particular those who have been admitted to an ICU. Machine learning (ML) predictive models based on medical data patterns are an emerging topic in areas such as the prediction of liver diseases. Prediction models that combine several variables or features to estimate the risk of people being infected or experiencing a poor outcome from infection could assist medical staff in the treatment of patients, especially those that develop organ failure such as that of the liver. In this paper, we propose a model called the detecting model for liver damage (DMLD) that predicts the risk of liver damage in COVID-19 ICU patients. The DMLD model applies machine learning algorithms in order to assess the risk of liver failure based on patient data. To assess the DMLD model, collected data were preprocessed and used as input for several classifiers. SVM, decision tree (DT), Naïve Bayes (NB), KNN, and ANN classifiers were tested for performance. SVM and DT performed the best in terms of predicting illness severity based on laboratory testing.

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Tele-COVID: A Telemedicine SOA-based Architectural Design for COVID-9 Patients

Cited by 9 publications

References 28 publications

Mapping Digital Public Health Interventions Among Existing Digital Technologies and Internet-Based Interventions to Maintain and Improve Population Health in Practice: Scoping Review

Mapping Digital Public Health Interventions Among Existing Digital Technologies and Internet-Based Interventions to Maintain and Improve Population Health in Practice: Scoping Review

Implementation of Virtual Training: The Example of a Faculty of Computer Science during COVID-19 for Sustainable Development in Engineering Education

Prediction Model of Adverse Effects on Liver Functions of COVID-19 ICU Patients

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