About this Research Topic
Diabetes is a chronic disease characterized by hyperglycemia resulting from defects in insulin production, its efficacy, or both. In recent years, the growth of the diabetes endemic has been an escalating global health concern, impacting all ages and societies. Diabetes causes a range of complications such as heart disease, stroke, kidney failure, and vision loss, impacting an individual's quality of life, as well as increasing both morbidity and mortality. It is due to this that constant monitoring and lifestyle modifications are needed to ensure individuals have adequate management of the disease.
Digital technology has been pivotal in revolutionizing patient care in the 21st century, directly impacting diabetes management and prevention by providing new risk assessments, diagnosis, treatment and telemedicine. The integration of health informatics in diabetes care offers seamless tracking, monitoring, and personalization of the care process, enhancing experiences for both caregivers and patients. Yet, the potential of this fast-evolving field stands largely untapped, necessitating further exploration to harness its robustness in diabetes control and prevention.
The primary goal of the collection is to consolidate and disseminate the latest research, reviews, case studies, and possibly opinion pieces on the impact and application of digital technology in the field of diabetes to help improve patient's lives. Clinical trials testing new treatments for diabetes by using digital technologies such as telemedicine or remote rehabilitation will be mostly welcomed.
The scope of this topic is inherently interdisciplinary, involving clinical practice, biomedical engineering, health informatics, data science, public health, and patient education. It covers the continuum of care from prevention, diagnosis, and management, to rehabilitation and long-term monitoring. The goal is to enhance the quality of life for individuals with diabetes and to reduce the incidence and impact of disease-related adverse outcomes such as kidney failure through the integration of digital technology into care protocols.
Themes of interest include, but are not limited to:
• Innovative applications of digital technology in diabetes care
• Effectiveness of Monitoring tools and diagnostic technology in diabetes
• Telemedicine and remote patient monitoring
• Identification of At-Risk Populations
• Patient Education and Engagement
• Intervention Strategies
• Data Analytics and Machine Learning
Keywords: Diabetes, Digital, Remote Rehabilitation, Non face-to-face management, Elderly, Telemedicine
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