Gestational diabetes is becoming more common and creates challenges for maternity care. This project develops and pilots a digital self-care application called eMOM, which helps pregnant women monitor blood sugar, diet, and physical activity. The app also supports healthcare professionals by offering tools for remote monitoring, patient summaries, and AI-based glucose predictions. The goal is to improve care, reduce unnecessary referrals, and make self-care a routine part of gestational diabetes treatment. The pilot will involve around 400 pregnant women in Southern Finland. The research is a collaboration between HUS, Keusote, and the University of Helsinki. The app is designed to be multilingual and accessible to all. If successful, the project will offer a cost-effective model that can be used nationally to support pregnant women and improve equality in healthcare. It also provides a foundation for future digital care models in chronic disease management.

2026

2028