Personalized Insulin Management System with AI-Driven Predictive Analytics
Legal Citation
Summary of the Inventive Concept
A next-generation insulin management system that leverages machine learning, cloud-based platforms, wearable sensors, and blockchain technology to provide personalized, real-time insulin dosing and minimize the risk of hypoglycemia and hyperglycemia.
Background and Problem Solved
The original patent for insulin management addressed the need for accurate insulin dosing, but its manual calculations and limited data inputs led to suboptimal results. This new inventive concept tackles the limitations of the original patent by integrating advanced technologies to provide a more proactive, adaptive, and patient-centric approach to insulin management.
Detailed Description of the Inventive Concept
The system comprises a machine learning module that predicts blood glucose levels based on real-time sensor data, wearable devices for continuous glucose monitoring and insulin administration, a cloud-based platform integrating electronic health records and artificial intelligence, a telemedicine platform for remote insulin management, and a blockchain-based system for secure and transparent insulin management. These components work in tandem to optimize insulin administration, reduce healthcare costs, and improve patient outcomes.
Novelty and Inventive Step
The new claims introduce the use of machine learning, cloud-based platforms, wearable sensors, and blockchain technology to insulin management, which constitutes a significant departure from the manual calculations and limited data inputs of the original patent. The integration of these advanced technologies enables real-time, personalized insulin dosing and sets a new standard for insulin management.
Alternative Embodiments and Variations
Alternative embodiments may include the use of different machine learning algorithms, various wearable sensor designs, or alternative blockchain architectures. Additionally, the system could be adapted for use in different healthcare settings, such as clinics or hospitals, or integrated with other medical devices, such as continuous glucose monitors or insulin pumps.
Potential Commercial Applications and Market
The personalized insulin management system has vast commercial potential in the healthcare industry, particularly in the diabetes management market. The system's ability to reduce healthcare costs, improve patient outcomes, and provide real-time, personalized insulin dosing makes it an attractive solution for healthcare providers, payers, and patients alike.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical Informatics and Diabetes Management Systems, involving computer-implemented methods for glucose monitoring, insulin dosing algorithms, and healthcare data processing
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or computer scientist with expertise in medical device design, data analytics, machine learning, and healthcare information systems, holding advanced degrees and understanding of diabetes management technologies
Obviousness Rationale
A PHOSITA would recognize that the PTD's machine learning and cloud-based enhancements represent predictable technological improvements to the source patent's insulin management method. The core functionality of glucose measurement and insulin dosing remains consistent, with the PTD merely applying well-known computational techniques to enhance precision and personalization. The integration of AI, wearable sensors, and blockchain represents incremental advancements that would be obvious to a skilled practitioner seeking to optimize insulin management systems.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,314 |
|---|---|
| Title | Insulin management |
| Assignee(s) | Aseko, Inc. |