Integrating PGHD into clinical practice remains a major challenge, especially for individuals with T1DM who use CGM and insulin pump technologies. Traditional electronic health records (EHRs) often cannot process or synchronize data from diverse device sources.

A study published in the Journal of Diabetes Science and Technology introduced a novel cloud-based data infrastructure designed to overcome these limitations. The platform aggregates over 100 million CGM measurements, one million clinical events and insulin bolus records, and near-complete EHR data for approximately 3,000 patients annually between 2016 and 2023.

This architecture refines raw information into actionable insights, visualizes glucose trends, and supports predictive decision-making in clinical workflows. Case studies demonstrated the platform’s ability to enable real-time glucose monitoring, machine-learning-driven risk assessment, and data-guided research. By integrating multi-source information efficiently, the system marks a step forward in precision diabetes management and evidence-based care.