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Saving lives with data by providing regulatory-grade safety and effectiveness data.

Make diabetes suck less with automated data logging and FDA-cleared bolus calculations.

mySugr is a sophisticated Software as a Medical Device (SaMD) platform that serves as a central hub for diabetes data management. Architected to integrate seamlessly with Roche's Accu-Chek hardware ecosystem, the platform leverages proprietary algorithms to estimate HbA1c levels based on longitudinal blood glucose data. By 2026, mySugr has solidified its position as a market leader by utilizing machine learning to provide predictive glycemic insights and personalized feedback loops for users. Its technical infrastructure is designed for high-integrity data ingestion from various IoT medical devices (glucometers, CGMs, and insulin pumps) via Bluetooth and cloud-to-cloud APIs. The application is FDA-cleared and CE-marked, adhering to rigorous clinical safety standards. Its market position is unique, bridging the gap between consumer-grade wellness apps and clinical-grade medical monitoring systems. The technical stack focuses on interoperability, supporting Health Kit and Google Fit, while maintaining strict GDPR and HIPAA compliance for sensitive health telemetry. For healthcare providers, the platform enables data-driven clinical decision-making through standardized PDF/Excel reporting and remote monitoring capabilities.
mySugr is a sophisticated Software as a Medical Device (SaMD) platform that serves as a central hub for diabetes data management.
Explore all tools that specialize in hba1c estimation. This domain focus ensures mySugr delivers optimized results for this specific requirement.
An FDA-cleared algorithm that calculates insulin doses based on carb intake, current glucose, and active insulin (IOB).
Uses a rolling 90-day mean glucose algorithm to predict clinical lab results with high correlation.
A tag-based indexing system for logs that allows users to query specific glycemic events (e.g., 'pizza', 'exercise').
Integration of visual metadata with glucose logs to assist in retrospective carb counting analysis.
A high-fidelity reporting module that generates clinical-standard data visualizations.
Database-driven logging of oral medications and insulin types with dosage reminders.
Bluetooth Low Energy (BLE) stack optimized for low-latency synchronization with medical peripherals.
Download the mySugr app from the iOS App Store or Google Play Store.
Create a secure account with multi-factor authentication and complete the health profile (diabetes type, therapy mode).
Pair a compatible Bluetooth glucometer (e.g., Accu-Chek Guide) to enable automatic data transfer.
Grant permissions for Apple Health or Google Fit to import steps and activity data.
Configure insulin-to-carb ratios and insulin sensitivity factors in the Bolus Calculator settings.
Complete the initial 7-day calibration period to generate the first estimated HbA1c.
Set up recurring reminders for blood glucose testing and medication logging.
Join a 'Challenge' to gamify the data collection process and increase engagement.
Generate a test PDF report to verify data visualization and sharing capabilities.
Enable cloud synchronization to ensure data persistence across multiple devices.
All Set
Ready to go
Verified feedback from other users.
"Highly praised for its clean UI and Roche integration, though some users find the manual subscription model frustrating without hardware."
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