Establishment of a Diabetes-Tailored Data Intelligence Platform Enhances Clinical Care, Enables Risk-Based Monitoring, and Facilitates Population-Health-Based Approaches at a Pediatric Diabetes Network
Authors' conclusion
The D-data dock is a novel approach to harnessing disparate data streams to improve patient care, enable timely interventions, and drive innovation to improve the lives and care of people with T1D.
Study context
- Population
- Pediatric diabetes network; patients with T1D, ≈3000 patients per year from 2016 to 2023≈3000 patients/year
- Outcome
- D-data dock contents
- Follow-up
- 2016 to 2023
Methodological detailsMicrosoft Azure cloud platform, case studies, Data intelligence platform (D-data dock) built outside the electronic health record (EHR) in the Microsoft Azure cloud platform: ingesting/storing data, refining raw data into actionable insights, visualizing and reporting to decision makers
- Microsoft Azure cloud platform
- Case studies
- Data intelligence platform (D-data dock) built outside the EHR in the Microsoft Azure cloud platform: ingesting/storing data, refining raw data into actionable insights, visualizing and reporting to decision makers
Main finding
As reported in the abstract
- Continuous glucose monitor (CGM) measurements housed
- ≈100 million
- Clinical events and insulin bolus records housed
- one million
- Near complete EHR record coverage
- ≈3000 patients per year
Original publication
Establishment of a Diabetes-Tailored Data Intelligence Platform Enhances Clinical Care, Enables Risk-Based Monitoring, and Facilitates Population-Health-Based Approaches at a Pediatric Diabetes Network. J Diabetes Sci Technol. Published 18 October 2025. doi:10.
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