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Journal Article
Review
Diabetes Care in the Digital Era: a Synoptic Overview.
Current Diabetes Reports 2018 May 11
PURPOSE OF REVIEW: Diabetes care is undergoing a remarkable transformation by the advancements in information and communications technology (ICT). The aim of this review is to provide a general overview of various ICT-based interventions for diabetes care, challenges of their adoption, and consider future directions.
RECENT FINDINGS: A number of systematic reviews have examined studies on various aspects of telemedicine and eHealth for diabetes care, but they are generally focused on one specific type of technology application for diabetes care. A wide range of solutions from manual or automated telephone calls, short message services, websites, mobile health apps, remote monitoring devices, and sophisticated artificial intelligence systems has been studied in different settings and scopes with mixed results. However, despite the promising results of research studies, such innovative solutions are not widely adopted by health systems worldwide. Lack of supportive policy and legislation, unsustainable reimbursement, inefficient business models, and concerns regarding the security and privacy of health data are among the most problematic barriers.
RECENT FINDINGS: A number of systematic reviews have examined studies on various aspects of telemedicine and eHealth for diabetes care, but they are generally focused on one specific type of technology application for diabetes care. A wide range of solutions from manual or automated telephone calls, short message services, websites, mobile health apps, remote monitoring devices, and sophisticated artificial intelligence systems has been studied in different settings and scopes with mixed results. However, despite the promising results of research studies, such innovative solutions are not widely adopted by health systems worldwide. Lack of supportive policy and legislation, unsustainable reimbursement, inefficient business models, and concerns regarding the security and privacy of health data are among the most problematic barriers.
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