The Vital Role of Cloud Healthcare During COVID-19 Pandemic

The most sharable tag on social media was “stay at home”. Where, the governments oblige their residents from physical meeting or traveling instead of this they have to stay at their home for controlling the wide speared of The novel Corina Virus (COIVD-19). Hence, many lives are being saved. Here, Cloud Computing act as a game changer in many institutions and countries demand particularly to healthcare organizations. This Paper will review cloud health applications such as Telehealth, Telemedicine supporting with mobile cloud health applications. And the important role of sharable the cloud informatics in health. Then it focuses on the role of cloud played in health care sector to saving life’s during COIVED -19. Not only for people who have been infected but also for assisting other older people to get their treatment. Some concerns are existing to discuss related with security, outages, privacy and monitoring issues or when matter went wrong during the Telemedicine appointment with suggested solution for future matters

Barriers to pilot mobile teleophthalmology in a rural hospital in Southern Malawi

Introduction: Malawi has one of the highest HIV prevalences in Sub-Saharan Africa. The rate of eligible  HIV-infected people being initiated on antiretroviral therapy (ART) and retained in HIV-care is currently far from adequate. Consequently, many people continue present with advanced immunosuppression at public health facilities, often with undiagnosed opportunistic infections (OIs).Methods: In this context, mHealth was the innovation chosen to assist Eye Clinical Officers in early diagnosis of HIV-related diseases having eye manifestations in a rural hospital in Thyolo, Southern Malawi.Results: The mTeleophthalmology program began in October 2013, but was stopped prematurely due to organizational and technological barriers that compromised its feasibility.Conclusion: Sharing these barriers might be useful to inform the design of similar innovations in other  resource-limited settings with a high HIV prevalence and a dearth of eye specialists with capacity to diagnose HIV-related retinopathies.Key words: mHealth, HIV/AIDS, Malawi, opportunistic infections, eye diseases, mteleophthalmolog

Big Data Storage in the Cloud for Smart Environment Monitoring

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Exploring the Effects of Aggregate Review Characteristics on Mobile Application Adoption

This study investigates how potential adopters of mobile applications utilize online review systems to inform their perceptions on the application’s technology characteristics and thus inform their eventual adoption decision. Informational cascades and herding behavior theories are combined with the Innovation Diffusion Model and the Theory of Planned Behavior (TPB) to develop a research model. The review characteristics of aggregate review valence, overall rating, and review volume are related to the perceived technology characteristics of relative advantage, compatibility, and complexity. These, in turn, use the TPB as a lens to tie it all to the behavioral intention to adopt the mobile application. An online survey yielded 448 responses for analysis. The results yield some important insights and raises new questions for future evaluation

Website speed testing analysis using speedtesting model

Page load speed reflects the website´s performance. It has a significant influence on user experience and satisfaction. In this work we study and analyze the reasons cause the slowness of webpages load speed. By the deep investigation of the related literature and the review of websites speed testing services from different perspectives such as functions, interface and additional settings. We present a detailed recommendations that can be followed to optimize site's performance. Our hypotheses about reliability of website speed testing has been tested and conformed experimentally. 378 individual speed tests with various combinations of settings experiments have been performed to confirm out hypotheses, and recommendations have been provided based on our results. We believe that following these rules would ensure significantly more reliable website speed testing in comparison with a common practic

Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges

Chronic diseases are becoming more widespread. Treatment and monitoring of these diseases require going to hospitals frequently, which increases the burdens of hospitals and patients. Presently, advancements in wearable sensors and communication protocol contribute to enriching the healthcare system in a way that will reshape healthcare services shortly. Remote patient monitoring (RPM) is the foremost of these advancements. RPM systems are based on the collection of patient vital signs extracted using invasive and noninvasive techniques, then sending them in real-time to physicians. These data may help physicians in taking the right decision at the right time. The main objective of this paper is to outline research directions on remote patient monitoring, explain the role of AI in building RPM systems, make an overview of the state of the art of RPM, its advantages, its challenges, and its probable future directions. For studying the literature, five databases have been chosen (i.e., science direct, IEEE-Explore, Springer, PubMed, and science.gov). We followed the (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) PRISMA, which is a standard methodology for systematic reviews and meta-analyses. A total of 56 articles are reviewed based on the combination of a set of selected search terms including RPM, data mining, clinical decision support system, electronic health record, cloud computing, internet of things, and wireless body area network. The result of this study approved the effectiveness of RPM in improving healthcare delivery, increase diagnosis speed, and reduce costs. To this end, we also present the chronic disease monitoring system as a case study to provide enhanced solutions for RPMsThis research work was partially supported by the Sejong University Research Faculty Program (20212023)S

Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring

Noncontact electrocardiogram (ECG) measurement technique has gained popularity these days owing to its noninvasive features and convenience in daily life use. This paper presents mobile cloud computing for a healthcare system where a noncontact ECG measurement method is employed to capture biomedical signals from users. Healthcare service is provided to continuously collect biomedical signals from multiple locations. To observe and analyze the ECG signals in real time, a mobile device is used as a mobile monitoring terminal. In addition, a personalized healthcare assistant is installed on the mobile device; several healthcare features such as health status summaries, medication QR code scanning, and reminders are integrated into the mobile application. Health data are being synchronized into the healthcare cloud computing service (Web server system and Web server dataset) to ensure a seamless healthcare monitoring system and anytime and anywhere coverage of network connection is available. Together with a Web page application, medical data are easily accessed by medical professionals or family members. Web page performance evaluation was conducted to ensure minimal Web server latency. The system demonstrates better availability of off-site and up-to-the-minute patient data, which can help detect health problems early and keep elderly patients out of the emergency room, thus providing a better and more comprehensive healthcare cloud computing service

Regression Analysis of Cloud Computing Adoption for U.S. Hospitals

Industrial experts agree that cloud computing can significantly improve business and public access to low cost computing power and storage. Despite the benefits of cloud computing, recent research surveys indicated that its adoption in U.S. hospitals is slower than expected. The purpose of this study was to understand what factors influence cloud adoption in U.S. hospitals. The theoretical foundation of the research was the diffusion of innovations and technology-organization-environment framework. The research question was to examine the predictability of cloud computing adoption for U.S. hospitals as a function of 6 influential factors: relative advantage, compatibility, complexity, organizational size, structure, and culture. The research methodology included a cross-sectional survey with an existing validated questionnaire. A stratified random sample of 118 information technology managers from qualified U.S. hospitals completed the questionnaire. The categorical regression analysis rendered F statistics and R2 values to test the predictive models. The research results revealed that all 6 influential factors had significant correlations with the public cloud adoption intent (adjusted R2 = .583) while only the 3 technological factors had significant correlations with the private cloud adoption intent (adjusted R2 = .785). The recommendation is to include environmental factors and increase sample size in the similar future research. The developed predictive models provided a clearer understanding among hospital IT executives and cloud service providers of cloud adoption drivers. The potential implications for positive social change can be the increase of efficiency and effectiveness in U.S. hospital operation once their speed of cloud adoption has increased

Reducing under-five mortality in Makonde district’s public healthcare institutions: an exploratory investigation into the potential role of emerging technologies.

Doctoral Degree. University of KwaZulu-Natal, Durban.Under-five mortality rate remains unacceptably high globally, with Sub-Saharan Africa being the region with the worst under-five mortality outcomes. The United Nations reported that an average of 15 000 under-fives died daily in 2018, translating to 5.3 million under-fives dying annually. The United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) estimated that up to 5.5 million under-fives died in 2021. The outbreak of the Coronavirus Disease 2019 (COVID-19) worsened the situation for child healthcare in low-resource settings due to overwhelmed and strained healthcare systems. Promoting the health and well-being of under-fives remains a priority of the United Nations and its member states, as evidenced by the setting of under-five mortality goals in both the expired Millennium Development Goals and the current Sustainable Development Goals. Globally, under-five mortality outcomes are meagrely improving, registering a 4 per cent improvement in 18 years. Zimbabwe is one of the countries with high under-five mortality rates, with the Midlands and Mashonaland West provinces having the worst under-five mortality rates, according to the 2019 Multiple Indicator Cluster Survey (MICS) report. Despite the evidence of emerging technologies helping to reduce under-five mortality rates in other regions and countries like the United States of America, the United Kingdom and South-West Nigeria, the potential of such technologies to reduce under-five mortality rates in Zimbabwe’s public healthcare institutions has not been explored. Although Zimbabwe has registered improvements in under-five mortality rates over the years through such programmes as free healthcare for under-fives in public health facilitie s, child immunisation programmes, provision of nutritional supplements and prevention of mother-to-child transmission (PMTCT), the rates are still unacceptably high and above the SDG target of 23 per 1 000 live births, making Zimbabwe ranked amongst the fifty countries with the highest early childhood mortality in the world. The country’s poor under-five mortalit y rates suggest that the existing methods need to be complemented by different approaches. Guided by three theoretical frameworks, the Diffusion of Innovation, the Unified Theory of Acceptance and Use of Technology and the Capabilities Approach, the researcher explored the potential role of emerging technologies in reducing under-five mortality in Makonde District, Zimbabwe. The key deliverables of this study included a framework for the adoption of emerging technologies to reduce under-five mortality in resource-constrained settings like Makonde district. An exploratory sequential mixed-methods design was used, in which 20 healthcare professionals from Makonde public health facilities participated in interviews and a focus group, while 90 healthcare professionals and 391 mothers of under-five children xi responded to questionnaires. The researcher used purposive and snowball sampling to identify interview and focus group participants, where experience and whether one works in the paediatric ward, works with children or pregnant women were critical considerations. Mothers of under-fives were randomly sampled. The study revealed that the participants arguably value under-fives the most and would accept any technology intended to improve their health and wellbeing. They perceive emerging technologies as helpful in areas like improving diagnosis, minimising loss to follow-ups and providing data-driven, evidence-based and personalised paediatrics. The impediments to adoption included the fear of medico-legal hazards, centralisation of digital health decision-making, network problems, resistance to change and demoralised workforce. There is generally poor knowledge of emerging technologies by healthcare professionals in Makonde District. The study proffers recommendations on what needs to be done for emerging technologies to be adopted in Makonde District’s public healthcare institutions to reduce under-five mortality. An adoption framework is also presented.No isiZulu abstract available