ABSTRACT
Background and Aims: Data usage is essential in diabetescare, but facilitating HCP's to provide patients with timely and regular (eHealth) insights is complex. We developed a brand-agnostic CE-marked, population management eHealthapplication, CloudCare, providing a 'closed-data-loop' between patients and HCP's. Method(s): It uploads insulin- and glucosedevice-data from all platforms/brands both by manual uploads (patient) or automated uploading. The system is used 8 years in Diabeter and resulted in more than 10.000 'dataloops'/year mainly from manual uploads by the patient. We analysed outcomedata and visit/contactdata. Result(s): The system helped to improve outcomes despite COVID-19, implementation of technologie and significant growth and helpt switching to remote care (Table) with 50% of children and 57% of adults reaching HbA1c below 7.5% (58mmol/mol) in 2021. To accommodate increasing data usage, automatic data-uploads and translate data to insights, we further developed the system to tracks data and offer decision-support. This allows triage-driven risk stratification of clinically relevant cases, allowing timely interventions. Data-use, frequencies of planned contacts as well as 'snoozing' periods are defined in a service level agreement with patients. Automated input from 2505 780G- and IS-CGM users, creates approx. 2200 daily datasets. Automated triaging reduces this to a workload to 20-65 relevant cases per day which are reviewed and forwarded to HCPs. Settings for triaging are flexible and temporary 'snoozing' is possible. Conclusion(s): Further evaluation studies includes clinical impact and impact on the organization including costs. We will seek to include additional clinics in the evaluation. Solutions such as CloudCare will help to integrate modern diabetes-treatment and improve outcomes.