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T2 Diabetes and Medical Technology

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Diabetes is a growing pandemic in Europe, and Type 2 (T2) diabetes accounts for around 90% of all cases. Unlike Type 1, which is an autoimmune disorder, T2 diabetes is a chronic and progressive condition developed over time and linked to a combination of lifestyle, environmental, genetic and other factors.

T2 diabetes leads to health emergencies and severe complications if not effectively managed, including blindness, kidney failure, heart attacks, stroke and lower limb amputation. However, diabetes-related complications can potentially be postponed or avoided if detected and managed early. As the condition progresses, the management needs of T2 diabetes evolve.

Medical technologies can play an important role in supporting people with T2 diabetes and their care teams throughout the management journey. Better management leads to better health outcomes, higher quality of life, and reduced strains on health systems and wider societal structures.

Learn more about Type 2 diabetes and the role medical technology can play in the management of this complex condition on our infographic and paper.

Key topics

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Our Members and Partnerships

MedTech Europe's Diabetes Group actively collaborates with different stakeholders.

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System Readiness for Diabetes

Our health systems are not prepared for the growing diabetes pandemic. Designed around treating acute conditions like a broken leg, rather than chronic conditions like diabetes that require life-long treatment and care, hospitals are under increasing strain. To address the challenges of chronic conditions and build resilience for future health crises, we believe health systems must embrace a value-based, patient-centric and digitally enabled approach to care delivery.

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The Value of Digitally Enabled Diabetes Care

Digitally enabled devices and services are driving a new era of diabetes treatment – one that shifts care from overburdened hospitals to the home setting while empowering people with diabetes and their care teams to better manage the condition through informed, data-driven decision-making.

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