Data Visualization to Support Diabetes Management: Systematic Literature Review

The complexity of diabetes-related data requires its conversion into intuitive graphical representations, making it easier to identify patterns, trends, and correlations crucial to understanding patient conditions. These visualizations improve understanding of the disease and enable healthcare professionals to make more informed and personalized decisions. In addition, empowering patients to interpret their data fosters greater control over their diabetes management, which can improve health outcomes and quality of life. Visualizations play an essential role in research, allowing researchers to identify areas of interest and knowledge gaps and guiding future research to improve care. However, a problem with using complex visualizations in diabetes monitoring systems has been identified, prompting a systematic literature review to examine their role in disease management. The findings of this review include examples of systems that encourage patients' active participation in their self-care, as well as the use of IoT devices to enhance the effectiveness of graphical visualizations. The study also discusses the methodology used, a summary of the results, and challenges and opportunities, highlighting the importance of data visualizations in diabetes management.