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MedTech Outlook | Monday, August 19, 2019
The evolution of diabetes care technology has led to the inception of robust devices designed to enhance patient engagement and assist them in achieving glycemic goals.
FREMONT, CA: The healthcare sector is undergoing a digital revolution with the introduction of new technologies. The availability of robust therapy, monitoring, and treatment tools is enabling providers to enhance the quality of life for diabetes patients. It will not only improve the effectiveness of diabetes care but will also alleviate the burden of depending on antiquated systems.
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However, despite the significant advancements in therapeutics, diabetes patients are often burdened with psychological, physiological, and cognitive problems. The WHO estimated that over 422 million people across the globe are affected by diabetes. Effective diabetes care requires not only regular glucose monitoring (GM) and quantification of carbohydrate intake, but also the tracking of diet, fitness, stress, and so on.
Often, the patients lack access to appropriate therapy and fail to adhere to a robust treatment plan. The management of the disease requires not only radical lifestyle changes but also a robust monitoring plan. The delay in treatment regimens, unwillingness to change diet, lack of patient education, and poor adherence to therapeutics often fails to achieve the essential glycemic goals.
The latest information systems possess the capability of merging data from discrete silos, thus facilitating innovative models of connected care. The emergence of diabetes technology has enabled healthcare providers to manage blood glucose levels, alleviate diabetes complications, reduce the burden, and enhance the quality of life for patients by leveraging hardware, software, and other applications.
The digitalization in the healthcare sector has led to the inception of robust devices with the capability of monitoring glucose and delivering insulin. The digital tools enable seamless interaction and instruction apart from the traditional clinician visits, improving both the safety and health outcomes for patients.
The universal digital devices powered by robust, modular software, bolstered by artificial intelligence (AI) and machine learning (ML) models, will power connected health for diabetes. The inception of connected healthcare will potentially supplant regular clinic visits with enhanced diabetes care models designed to better patient engagement.
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