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    Wearable Glucose Monitoring devices in Energy-Challenged Regions of the GCC: A Logistical and Medical Approach to Remote Healthcare for Type 1 Diabetes Mellitus Patients

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    Seventh Youth Research Forum -Abstract.pdf (89.67Kb)
    Date
    2025
    Author
    Al -Kharusi, Affan
    Al-Kalbani, Mazoon
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    Abstract
    In energy-challenged regions within the Gulf Cooperation Council (GCC) countries, providing accessibility to quality healthcare is often hindered by environmental, logistical, and infrastructural barriers. Wearable health monitoring devices are viable for facilitating access to medical services, particularly for people in rural and geographically isolated areas. This paper examines the logistical and medical strategies necessary to implement effective remote healthcare solutions in the GCC. An effective supply chain management system combined with wearable health technology can help healthcare providers overcome these limitations and depend less on in-person treatment. This technique requires providing wearable health devices that provide live data, allowing for on-the-clock remote monitoring while ensuring supply chain optimization and device’s energy sustainability The study emphasizes the significance of tailoring remote healthcare services energy-challenged regions, showcasing the role of wearable health monitoring in revolutionizing the medical sector across the GCC for more accessible and sustainable healthcare. This paper targets type 1 diabetes mellitus patients, focusing on glucose monitors as our choice of health care monitor device. Non Adherence with medications or unexplained impairment with automatic insulin pumps can lead to severe health complications such as diabetic ketoacidosis. This study will use a mixed-method approach, including interviews with healthcare logistics experts and surveys with potential users in rural areas to evaluate device usability, acceptance, and perceived health benefits. Geographic Information System (GIS) mapping to optimize supply chain routes, ensuring effective device distribution across remote areas. Statistical analysis was conducted on quantitative data to assess device reliability, energy consumption, and healthcare impact.
    DOI/handle
    http://hdl.handle.net/10576/62486
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