Cell metabolism, 2019, № 3, p. Information technologies (it) are increasingly implemented in type 2 diabetes (t2d) treatment as a resource for remotely supported health care. Diabetes care is undergoing a remarkable transformation by the advancements in information and communications technology (ict).
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Machine learning enhances diabetes care, education
“one of the major goals of diabetes care is to help patients manage their blood glucose so well that they never have to visit an emergency room for diabetic.
We’ve curated these diabetes protips to help hcps optimize glucose.
Further, social media and online communities enhance patient engagement. Ashrafzadeh, s., & hamdy, o. Challenges in access to diabetes specialists and educators, low adherence to medications, and. Despite vast improvements in insulin, insulin delivery, and glucose monitoring technology, a large proportion of people with type 1 diabetes do not achieve.
Explore how diabetes technology and devices can help address common challenges patients and hcps often face in diabetes management and treatment adherence. Contreras et al developed a diabetes management system to integrate a series of ai models and tools with an engine to manage diabetes patient care flows [ 139 ]. The rise of startups, shift towards digital business models, and the formation of strategic alliances are marking a departure from conventional practices, paving the way for a.
