A graphical user interface for diabetes management that integrates glucose prediction and decision support

Area of Science:

• Biomedical Informatics
• Diabetes Technology
• Patient Self-Management

Background:

• The Diabetes Control and Complications Trial (DCCT) highlighted the need for intensive decision support in diabetes management, which remains unmet in clinical practice.
• Despite advancements in education and therapy, a gap exists in providing real-time, personalized decision support for patients.
• A novel glucose predicting engine has been developed, offering potential for improved diabetes care.

Purpose of the Study:

• To describe a novel graphical user interface (GUI) designed for diabetes self-management.
• To integrate a validated glucose predicting engine into a user-friendly interface for patients and providers.
• To empower patients in achieving better glycemic control while mitigating risks like hypoglycemia and weight gain.

Main Methods:

• A server-based registry database serves as the core of the GUI, accessible to both patients and healthcare providers.
• The patient-facing GUI incorporates the glucose predicting engine and allows for easy input of body weight and blood glucose levels.
• It provides decision support for medication adjustments (dosing) and lifestyle modifications (diet, exercise), with animated visual feedback on predicted glucose outcomes and hypoglycemia risks.

Main Results:

• The GUI features a staged sequence of screens to guide users through self-management tasks like data entry and medication adjustment.
• Users can modify medication dosages, carbohydrate intake, and exercise levels, with the system predicting the impact on glucose levels.
• Animated visualizations illustrate the effects of user-initiated changes on predicted glycemia and medication needs.

Conclusions:

• A new GUI, powered by a novel glucose predicting engine, is introduced for insulin-treated individuals with diabetes.
• This tool aims to enhance glycemic control and help patients and providers achieve the therapeutic goals set forth by the DCCT.
• The GUI offers a promising avenue for improved diabetes self-management and better health outcomes.