Enhanced Insulin Delivery Rate Adjustment System

An advanced insulin delivery system that leverages real-time user feedback, glucose data, and machine learning algorithms to optimize basal insulin delivery rates, minimizing hypoglycemic events and improving glucose level control.

The original patent, 'Adjusting insulin delivery rates,' has limitations in predicting glucose levels and adjusting insulin delivery rates accordingly. The new inventive concept addresses these limitations by introducing a fully closed-loop system that integrates real-time glucose data, user feedback, and advanced algorithms to predict and adjust insulin delivery rates, thereby minimizing hypoglycemic events and improving glucose level control.

The new inventive concept comprises a glucose measurement device, a processor, and a controller. The glucose measurement device provides up-to-date blood glucose data, which is used by the processor to predict multiple future blood glucose levels for multiple different basal insulin delivery profiles. The controller selects the optimal basal insulin delivery profile that minimizes differences between the predicted future blood glucose values and one or more target blood glucose values. The system can be part of a fully closed-loop system, automatically delivering a bolus, or a hybrid closed-loop system, adjusting basal insulin delivery rates based on user input. The system also incorporates real-time user feedback to update the basal insulin delivery profiles, ensuring personalized and adaptive insulin delivery.

The new inventive concept introduces a fully closed-loop system that integrates real-time glucose data, user feedback, and advanced algorithms to predict and adjust insulin delivery rates, thereby minimizing hypoglycemic events and improving glucose level control. The novel aspect lies in the system's ability to adapt to user feedback and update the basal insulin delivery profiles in real-time, ensuring a more personalized and effective insulin delivery system.

Alternative embodiments of the inventive concept could include using machine learning algorithms to predict glucose levels, incorporating additional health metrics, such as physical activity or sleep patterns, or integrating with wearable devices to provide more comprehensive glucose monitoring. Variations could include using different types of insulin, such as rapid-acting or long-acting insulin, or developing systems for other types of diabetes, such as type 1 or type 2 diabetes.

The enhanced insulin delivery rate adjustment system has significant commercial potential in the diabetes management market, which is expected to grow to $12.6 billion by 2025. The system's ability to minimize hypoglycemic events and improve glucose level control makes it an attractive solution for patients with diabetes, particularly those with type 1 diabetes. The system's adaptability and personalization capabilities also make it an attractive solution for healthcare providers and payers looking to improve patient outcomes and reduce healthcare costs.