RESUMO
The use of information and communication technology (ICT) in medical and healthcare services goes beyond everyday life. Expectations of a new medical environment, not previously experienced by ICT, exist in the near future. In particular, chronic metabolic diseases such as diabetes and obesity, have a high prevalence and high social and economic burden. In addition, the continuous evaluation and monitoring of daily life is important for effective treatment and management. Therefore, the wide use of ICTbased digital health systems is required for the treatment and management of these diseases. In this article, we compiled a variety of digital health technologies introduced to date in the field of diabetes and metabolic diseases.
RESUMO
The use of information and communication technology (ICT) in medical and healthcare services goes beyond everyday life. Expectations of a new medical environment, not previously experienced by ICT, exist in the near future. In particular, chronic metabolic diseases such as diabetes and obesity, have a high prevalence and high social and economic burden. In addition, the continuous evaluation and monitoring of daily life is important for effective treatment and management. Therefore, the wide use of ICTbased digital health systems is required for the treatment and management of these diseases. In this article, we compiled a variety of digital health technologies introduced to date in the field of diabetes and metabolic diseases.
RESUMO
Digital technology has transformed our lives. Healthcare is not an exception. Many devices have showed up in various areas of healthcare to offer new value. The first area affected is diagnostics. New devices in combination with smartphones make it possible to perform tests at home that would have been done only at hospitals. The diagnostic tests may lead to treatment in everyday life. Several medical apps called 'Digital Therapeutics' have been clinically validated and approved by the U.S. Food and Drug Administration as therapeutic medical devices usually as a complement to standard therapy. Artificial intelligence (AI) has been utilized in diagnostics and treatment. In particular, AI has shown promising capability in image interpretation and prediction.