From data overload to therapeutic insights
The treatment of diabetes patients is becoming increasingly data-intensive thanks to modern sensor technologies: A single CGM system generates up to 1,440 measurements per patient every day. With “glucodoc AI Assistant", simple and legally compliant data analysis is now possible using AI:
Manual evaluation of a complex diabetes patient file takes a considerable amount of time. In the process, the human eye often overlooks subtle patterns in the data.
Usage of AI can help to reduce this time while recognizing connections that were previously hidden.

Maximum flexibility in AI selection
glucdoc AI Assistants acts as middleware between all leading diabetes cloud systems such as LibreView, Clarity, Glooko, and CareLink. The user just selects an exported data file from such a cloud and glucodoc does automatically prepare the data for AI analysis and cares for anonymization.
User have the freedom of choice in the AI technology used. You can use any OpenAI-compatible AI – from ChatGPT to Claude to local Ollama installations.
This ensures maximum independence and allows practices to use their preferred AI solution.

Privacy by design
Special attention has been paid to data protection. The software generates detailed anonymization reports so that users can track which data has been transmitted to the AI and in what form at any time. After analysis, the results are automatically reassigned to the original patient data.

Wide range of applications
The areas of application range from identifying recurring hypoglycemia patterns and analyzing therapy adjustments to automatically generating doctor's letter texts.
For example, users could ask like: “Why do the values rise after lunch?” or “Create a report for the family doctor.”
The answers can be transferred directly to the practice software.