The Diabetes Research Hub (DRH) pattern simplifies the ingestion of CGM (Continuous Glucose Monitoring) files and supporting datasets. It allows seamless conversion to SQLite databases, executing advanced queries, and generating visual insights such as AGP (Ambulatory Glucose Profile) graphs and key metrics like J-Index, GRI, and more.

Diabetes Research Hub Study Pattern

A seamless integration for converting study files and generating metrics, visual insights for diabetes research.

Diabetes Research Hub Workflow

Diabetes Research Hub Study Pattern

This pattern enables researchers to ingest CGM data and related datasets into SQLite databases for dynamic querying and visualizing results. By using DRH's standardized workflow, researchers can process datasets to derive critical insights such as daily glucose profiles, AGP graphs, and metrics like J-Index and GRI, supporting in-depth diabetes research.

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Standardized CGM Data Integration

DRH supports the ingestion of study data from CGM files and associated participant datasets, transforming them into structured SQLite databases.

Advanced Metrics Calculation

Automatically compute critical diabetes metrics like AGP, J-Index, and GRI for in-depth participant insights.

Dynamic Query Execution

DRH allows querying datasets to generate participant-level reports, group-level summaries, and graphical visualizations.

Visualization Ready

Supports rendering of AGP graphs, daily glucose profiles, and statistical summaries using SQLite views and integrated visualization tools.