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Digital Health Technology in Diabetes Management in the Asia-Pacific Region: A Narrative Review of the Current Scenario and Future Outlook

HumanInsight Digital Health Technology in Diabetes Management in the Asia-Pacific Region: A Narrative Review of the Current Scenario and Future Outlook

Diabetes Ther. 2025 Feb 10. doi: 10.1007/s13300-025-01692-0. Online ahead of print.

ABSTRACT

Diabetes is a growing global health concern with a high prevalence in the Asian and Western Pacific regions. Effective diabetes management mainly relies on self-care practices. However, glycemic control remains poor, especially in developing nations where healthcare access is limited. Low physician density and minimal healthcare funding exacerbate the challenges faced by people with diabetes in Asia. Digital health technologies offer promising solutions to bridge these gaps. These technologies enhance patient engagement, improve medication adherence, and promote healthier lifestyles. Mobile apps provide tools for self-management, such as monitoring physical activity and dietary intake, while telemedicine platforms and electronic medical records facilitate patient data management and remote consultations. Despite the advantages provided by digital health technologies in managing diabetes, barriers to their adoption include infrastructure limitations, regulatory challenges, and issues with data security. Some Asian countries have made major strides in the adoption of digital health tools with national strategies and regulatory bodies to manage digital health options; however, disparities in digital health readiness persist. Effective implementation of these technologies requires addressing these barriers, including enhancing infrastructure, improving app usability, and ensuring regulatory compliance. While digital health solutions present significant opportunities, their impact depends on overcoming current challenges and ensuring equitable access and effective use in managing diabetes. Future directions should focus on prioritizing app acceptance and efficacy, as well as integrating machine learning and artificial intelligence-powered digital solutions.

PMID:39928223 | DOI:10.1007/s13300-025-01692-0

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