Synergistic Insulin Delivery System with AI and Blockchain
Legal Citation
Summary of the Inventive Concept
A hybrid closed-loop insulin delivery system integrating AI-driven glucose prediction, blockchain-based data storage, and wearable insulin delivery devices to optimize basal insulin delivery rates and provide personalized health recommendations.
Background and Problem Solved
Diabetes management often relies on manual insulin dosing, which can lead to hyperglycemia or hypoglycemia. The original patent addressed this issue by adjusting insulin delivery rates based on glucose data. However, it lacked the power of AI-driven glucose prediction, blockchain-based data security, and wearable insulin delivery devices. The new inventive concept solves this problem by synergistically combining these technologies to create a more effective and personalized insulin delivery system.
Detailed Description of the Inventive Concept
The system consists of a hybrid closed-loop insulin delivery module, an artificial intelligence-driven glucose prediction engine, and a blockchain-based data storage unit. The hybrid closed-loop insulin delivery module adjusts basal insulin delivery rates based on glucose data from a continuous glucose monitor and a blood glucose meter. The artificial intelligence-driven glucose prediction engine predicts future blood glucose levels for multiple different basal insulin delivery profiles and selects one of the basal insulin delivery profiles based on prediction of which profile will approximate a target blood glucose level. The blockchain-based data storage unit stores and analyzes glucose data and insulin delivery profiles to provide personalized health recommendations. The system can be integrated with wearable insulin delivery devices and blockchain-based health data platforms to enhance its functionality.
Novelty and Inventive Step
The new claims introduce the synergistic combination of AI-driven glucose prediction, blockchain-based data storage, and wearable insulin delivery devices, which provides a more effective and personalized insulin delivery system compared to the original patent. The inventive step lies in the integration of these distinct technologies to create a hybrid closed-loop insulin delivery system that can adapt to individual patient needs.
Alternative Embodiments and Variations
Alternative embodiments may include integrating the system with other health data platforms, using different AI algorithms for glucose prediction, or incorporating additional sensors for more accurate glucose monitoring. Variations may include using different blockchain architectures or implementing the system in various wearable devices or mobile applications.
Potential Commercial Applications and Market
The synergistic insulin delivery system has significant commercial potential in the diabetes management market, particularly in the growing market for wearable insulin delivery devices and AI-powered health analytics. The system's ability to provide personalized health recommendations and optimize insulin delivery rates can improve patient outcomes and reduce healthcare costs.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61M5/1723 |
| A | A61 | A61B5/14532 |
| A | A61 | A61B5/4839 |
| A | A61 | A61M5/142 |
| A | A61 | A61M5/145 |
| A | A61 | A61M5/14244 |
| A | A61 | A61M5/14248 |
| G | G16 | G16H20/17 |
| G | G16 | G16H40/60 |
| G | G16 | G16H40/67 |
| A | A61 | A61B2562/0295 |
| A | A61 | A61M2005/14208 |
| A | A61 | A61M2205/3303 |
| A | A61 | A61M2205/3553 |
| A | A61 | A61M2205/3561 |
| A | A61 | A61M2205/3569 |
| A | A61 | A61M2205/3584 |
| A | A61 | A61M2205/502 |
| A | A61 | A61M2205/52 |
| A | A61 | A61M2230/005 |
| A | A61 | A61M2230/201 |
| G | G16 | G16H10/60 |
| G | G16 | G16H40/40 |
| G | G16 | G16H50/30 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical Device Technology - Diabetes Management Systems, focusing on insulin delivery, glucose monitoring, and personalized medical treatment algorithms
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device specialist with expertise in diabetes management technologies, proficient in AI/machine learning, data analytics, wearable medical devices, and closed-loop insulin delivery systems
Obviousness Rationale
A PHOSITA would recognize that integrating AI-driven glucose prediction, blockchain data storage, and hybrid closed-loop insulin delivery represents a predictable combination of known techniques in diabetes management technology. The source patent's foundational insulin delivery method provides a clear framework for extending functionality through emerging technologies like AI and blockchain. These technological integrations represent incremental improvements that would be obvious to a skilled practitioner seeking to enhance personalized diabetes management systems.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,763 |
|---|---|
| Title | Adjusting insulin delivery rates |
| Assignee(s) | INSULET CORPORATION |