Intelligent Meal Bolus Detection and Recommendation System

A novel system integrating AI, IoT, blockchain, and continuous glucose monitoring to detect un-bolused meals and provide personalized meal bolus recommendations, enhancing diabetes therapy and improving patient outcomes.

The original patent addressed the need for accurate and controlled fluid delivery in diabetes therapy, but it did not fully leverage advancements in AI, IoT, and blockchain to optimize meal bolus timing and patient engagement. This new inventive concept solves the problem of inadequate meal bolus detection and recommendation by integrating these distinct technologies.

The system comprises an ambulatory infusion pump, a continuous glucose monitoring system, and a machine learning module that analyzes CGM data and user input to predict meal times and provide personalized reminders for meal boluses. The system can be integrated with IoT-enabled devices, blockchain-based secure data storage, and AI-powered meal detection algorithms to optimize meal bolus timing and enhance patient outcomes.

The new claims introduce the novel combination of AI, IoT, blockchain, and continuous glucose monitoring to create a more powerful system for detecting un-bolused meals and providing personalized meal bolus recommendations. This integration of distinct technologies represents a non-obvious improvement over the original patent.

Alternative embodiments may include integrating the system with wearable devices, mobile apps, or cloud-based services to enhance user experience and engagement. Variations may include using different machine learning algorithms, blockchain platforms, or IoT protocols to optimize system performance and scalability.

This inventive concept has significant commercial potential in the diabetes management and healthcare industries, with potential applications in insulin pump systems, continuous glucose monitoring devices, and personalized medicine platforms. The target market includes patients with diabetes, healthcare providers, and medical device manufacturers.