Undermyfork Keep track of how specific meals affect your Time in Range

What is Undermyfork?

Undermyfork provides a solution for individuals managing diabetes to understand the relationship between their food intake and glucose levels. It automatically integrates glucose data from continuous glucose monitors (CGM), flash glucose monitors (FGM), or blood glucose meters (BGM) with pictures users take of their meals. The application then calculates the postprandial Time in Range for each specific meal, offering clear insights into how different foods affect glucose control.

The tool simplifies meal logging by automatically recognizing food items in photos and suggesting relevant tags. This tagging system allows users to easily compare their glycemic response to similar meals or situations over time. Undermyfork streamlines data collection by pulling glucose and insulin information directly from the user's phone and integrates seamlessly with Dexcom devices via their API (US only) or Apple Health (worldwide). Users can also generate reports or share real-time data links with healthcare providers or caregivers through the Undermyfork Care platform.

Features

Automatic Glucose Data Integration: Combines data from CGM, FGM, or BGM with meal photos.
Postprandial Time in Range Calculation: Analyzes glucose response after each meal.
Meal Photo Tagging: Allows users to tag meals with keywords for comparison.
Automatic Meal Recognition: Understands food items on the plate and suggests tags.
Automated Data Import: Pulls glucose and insulin data automatically from the phone.
Insights Dashboard: Highlights 'green' (good) and 'red' (out-of-range) meals and associated insulin doses.
Dexcom Integration: Connects seamlessly with Dexcom devices via API or Apple Health.
Data Sharing: Enables users to share data with healthcare providers via printouts or real-time links.

Use Cases

Tracking the effect of specific meals on blood glucose levels.
Identifying optimal food choices to maintain target Time in Range.
Analyzing personal glycemic response to different foods and meal compositions.
Making informed insulin dosing adjustments based on historical meal data.
Facilitating discussions with healthcare providers using detailed meal and glucose reports.
Monitoring patient dietary adherence and glucose control remotely (for healthcare providers).