Cloudcare: Scaling data-driven diabetes care
Cornelis van Beers, Sander Last, Chris Vercammen, Martijn Brouwers, Steinunn Arnardóttir, Pim Dekker, Erwin Birnie, Francisca van der Pluijm, Christine Fransman, Henk-Jan Aanstoot, Max Nieuwdorp
Cloudcare, a population health management application for people with diabetes: Interim results from a multicenter observational study. Poster EP340, ATTD 2026, 11-14 Marc, Barcelona
The increasing use of diabetes technology, including continuous glucose monitoring and automated insulin delivery, has led to a rapid growth in available patient data. While these data offer opportunities to improve outcomes and personalise care, they also create new challenges for healthcare teams: how to efficiently interpret and act on large volumes of data across patient populations. Population health management (PHM) systems aim to address this challenge by enabling continuous monitoring, prioritisation, and proactive intervention. CloudCare is a CE-marked digital platform developed within Diabeter to support this approach, allowing healthcare professionals to monitor glucose data remotely and tailor care based on individual needs.
This multicentre observational prospective cohort study evaluated the implementation of CloudCare in routine clinical practice across several European diabetes centres. The study assessed outcomes over six months, including treatment satisfaction, diabetes-related distress, glycaemic control, and healthcare contacts. A total of 333 people with diabetes were included across centres in the Netherlands, Belgium, and Iceland, representing diverse patient populations and care pathways. The study also explored whether effects were consistent across these different settings. The results were accepted for poster presentation at the ATTD 2026 congress in Barcelona.
KEY FINDINGS
- Treatment satisfaction increased significantly, with a median improvement of +7 points on the DTSQc at six months.
- Glycaemic outcomes (including time in range, time below range, and estimated HbA1c) remained stable, indicating maintained control.
- The number of face-to-face consultations decreased, while remote (non-face-to-face) contacts increased, without a change in total contact frequency.
- Diabetes-related distress remained stable over time.
- Effects were consistent across centres despite differences in patient characteristics and care organisation.
These findings suggest that population health management systems such as CloudCare can support a shift toward more proactive, data-driven diabetes care. By enabling continuous monitoring and targeted interventions between clinic visits, such systems may reduce the need for in-person consultations while maintaining clinical outcomes. Importantly, the consistency of results across centres indicates that this approach is not limited to a single setting, but may be scalable across different healthcare systems and patient populations. This supports the broader move toward hybrid care models that combine digital monitoring with personalised clinical support.
CONCLUDING THE AUTHORS STATE
"CloudCare consistently improved treatment satisfaction and reduced diabetes-related distress, while decreasing the number of face-to-face contacts without compromising glycemic control." -
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