J Korean Diabetes > Volume 25(3); 2024 > Article
The Journal of Korean Diabetes 2024;25(3):135-144.
DOI: https://doi.org/10.4093/jkd.2024.25.3.135    Published online September 30, 2024.
임신 중 당뇨병관리를 위한 스마트 헬스케어의 활용
이혜리1,2, 상현지1,3, 연동건1,2,4, 이상열1,2,3
1경희디지털헬스센터
2경희대학교 규제과학과
3경희대학교 의과대학 경희의료원 내분비대사내과
4경희대학교 의과대학 경희의료원 소아청소년과
Utilization of Smart Healthcare for Gestational Diabetes Mellitus Management
Hyeri Lee1,2, Hyunji Sang1,3, Dong Keon Yon1,2,4, Sang Youl Rhee1,2,3
1Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Seoul, Korea
2Department of Regulatory Science, Kyung Hee University, Seoul, Korea
3Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Korea
4Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Korea
Correspondence:  Sang Youl Rhee,
Email: bard95@hanmail.net
Received: 15 July 2024   • Accepted: 19 July 2024
Abstract
Gestational diabetes mellitus (GDM) poses significant health risks to both mothers and newborns, requiring rigorous self-management and frequent medical consultations. Advances in information and communications technology (ICT) have shown promising results in reducing the number of in-person visits for GDM management. ICT enhances patient self-care engagement, with some studies reporting reductions in average blood glucose and HbA1c levels. ICT for GDM management has demonstrated benefits such as fewer in-person visits, improved adherence to self-monitoring of blood glucose, increased global user satisfaction, and maintenance of blood glucose control and perinatal outcomes. Common barriers to ICT for GDM include technological literacy, inadequate education, limited technical support, the additional burden of non-customized applications, and restricted interoperability. Further research is needed on the impact of technology on GDM management to optimize digital health solutions.
Key Words: Diabetes, gestational, Digital health, Information technology


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