Saudi Cultural Missions Theses & Dissertations
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Item Restricted DESIGNING A CLINICAL TRIALS FRAMEWORK FOR WEARABLE TECHNOLOGIES AT SEHA VIRTUAL HOSPITAL IN SAUDI ARABIA(UCL, 2024) Madkhali, Marwan; Expert, PaulThe purpose of this research is to design a clinical trials framework for wearable technologies at Seha Virtual Hospital (SVH) in Saudi Arabia. The framework aims to evaluate the usability, effectiveness, and impact of wearable technologies on patient outcomes in a virtual care setting, aligning with the national strategy for digital health transformation. The research also seeks to establish benchmarks and generate high-quality evidence on the efficacy of these technologies for digital health in Saudi Arabia. The SVH, as a pioneering digital health centre, recognises the potential of wearable technologies to revolutionise healthcare by enabling remote monitoring and real-time data collection. The proposed framework will facilitate the integration of these technologies into clinical trials, contributing to evidence-based practices and improved patient care. The research methodology involved a systematic literature review to identify key themes and challenges in integrating wearable technologies into clinical trials. The review adhered to the PRISMA guidelines and included studies published between 2014 and 2024 that examined the use of wearable technologies in clinical trials for virtual healthcare delivery. Thematic analysis was employed to identify key themes and challenges. The findings highlighted the importance of usability and positive user experience, seamless data integration and high data quality, patient-centric design to promote adherence, the value of real-world evidence and feasibility studies, addressing regulatory and ethical considerations, and ensuring successful technology integration. The research also identified key benchmarks from existing clinical trials in different countries, including usability and patient-centred design, real-world data integration, methodological rigour and validation, ethical and regulatory compliance, personalised treatment plans and data accuracy, and hybrid models and flexibility. Results the comprehensive clinical trials framework was proposed. The framework incorporates needs assessment, technical performance evaluation, usability testing, feasibility assessment, and outcome measurement. It also emphasises ethical considerations, regulatory compliance, and data security. The implementation of this framework at SVH will enable the effective evaluation of wearable technologies, leading to improved patient monitoring, enhanced virtual care delivery, and ultimately, better patient outcomes. Keywords: clinical trials, wearable technologies, virtual healthcare, usability, and framework.10 0Item Restricted Developing A Sustainable Water Resources Management Assessment Framework (SWRM-AF) for Arid and Semi-Arid Regions(University of Birmingham, 2024-06-03) Alsaeed, Badir Saad S; Hunt, DexterThe rapidly growing world population highlights the need for evaluation methods like indicator-based water sustainability frameworks (IBWSFs) to assess and improve water resources management (WRM) practices. This is particularly important in arid and semi-arid regions (ASAR) where water resources are scarce. Furthermore, a particular IBWSF that fully fits the context of ASAR could not be found in the literature. Therefore, a sustainable water resource management assessment framework (SWRM-AF) has been developed, specifically tailored to evaluate water use in the domestic sector of countries with similar water conditions to those of the Gulf Cooperation Council (GCC) countries. The first step in the process of developing the SWRM-AF is to create a conceptual SWRM-AF, which consists of four components (i.e., three pillars of sustainability: environment, economy, and society plus infrastructure) underpinned with 24 selected indicators. These indicators were chosen rigorously through an extensive literature review. Each indicator is provided with a brief description and justification. One contribution of this research is that, for the first time, every indicator is presented with clear and straightforward instructions represented by coloured-code tables to explain how to evaluate each. In addition, social indicators such as the ‘intervention acceptability’ and environmental indicators to tackle the impact of the desalination treatment plants have been included to form a more holistic framework applicable to GCC countries. The second step is to utilise the Delphi technique as a participatory method to refine and validate the conceptual framework. This technique employs an iterative questionnaire to achieve consensus, through which 60 expert stakeholders from the GCC countries were invited to assess each indicator across four components and assign their respective weights. This process, through two rounds, resulted in a final version of SWRM-AF consisting of 4 equal-weight components and 17 indicators. Also, it was found that indicators within the social, economic, and infrastructure components should carry equal weights, while indicators within the environmental component should be assigned different weights. Lastly, data about the water sector of the Kingdom of Saudi Arabia (KSA), which was selected as an example of GCC countries, were collected to give a comprehensive idea about the overall water situation. Then, an application of the final SWRM-AF to the WRM of the domestic sector of the KSA, focusing on its current practices and assumptions of possible future scenarios, is presented.9 0Item Restricted Moving Target Detection and Prediction towards Cyber Agile Cellular Networks(Alotaibi, Saad, 2019-04-29) Alotaibi, Saad; Song, HoubingAgile networks such as cellular networks are often prone to attacks emanating from various loopholes. The security loopholes increase the vulnerability of a network whereby the attackers are able to utilize the attack surface to execute an attack. One of the best approach of eliminating the security loopholes is to reduce the attack surface that in the network. An approach known as Moving Target Defense (MTD) is a robust mechanism aimed at reducing the attack surface in a cyber-agile network. This paper proposes the development of an MTD framework aimed at reducing the attack surface in a cloud- based network. The approach aims to formulate how multiple virtual machines can be migrated from one network layer to another with the aim of minimizing the chances of an attacker exploiting the network vulnerabilities. The proposed framework also addresses the mechanism of transforming the I.P addresses of the virtual machines after successful migration to the new network layer. The framework is simulated with the OpenStack platform whereby the network layer is implemented using nova- compute while the hardware is implemented using neuron framework. The algorithmic framework is further supported and implemented using Python programming platform. The experimental results indicate that the migration process is attained within a maximum duration of 0.3 seconds, which is adequate enough to prevent an attacker from executing an attack on the network. The proposed MTD framework is capable of improving the security of a cyber-agile network by minimizing the attack surface. For enhancing the security of the system, the IP mutation methodology has also been proposed along with MTD. For checking the efficiency of proposed IP mutation methodology, two metrics were defined i.e. assurance and avoidance. The results for IP mutation methodology suggested that it uses flexible and elastic characteristics of SDN and helps to enhance the security of the system.14 0