Intelligent Infusion System with Real-time Monitoring and Adaptive Therapy
Legal Citation
Summary of the Inventive Concept
The present inventive concept integrates IoT-enabled sensors, machine learning, computer vision, blockchain, and 3D printing to create a comprehensive infusion system that detects fluid levels in real-time, predicts optimal replenishment schedules, and provides personalized treatment recommendations, ensuring data integrity and transparency.
Background and Problem Solved
The original patent, 'System for detecting and reporting fluid levels in an infusion device', addressed the need for accurate fluid level monitoring in infusion devices. However, it had limitations in terms of real-time monitoring, data analysis, and adaptive therapy. The present inventive concept solves these limitations by incorporating advanced technologies to provide a more efficient, accurate, and personalized infusion system.
Detailed Description of the Inventive Concept
The intelligent infusion system consists of an IoT-enabled sensor module that tracks fluid levels in real-time, a machine learning module trained on historical infusion data to predict optimal fluid replenishment schedules, and a blockchain-based reporting module to ensure data integrity and transparency. The system can be integrated with a computer vision module to analyze images of the infusion bag, providing enhanced accuracy in fluid level detection. Additionally, the system can include a 3D printing module to fabricate customized infusion bags with integrated sensors, enabling real-time monitoring and adaptive therapy. The system can also be used to detect anomalies in infusion therapy, identifying deviations from expected patterns and alerting healthcare professionals of potential issues.
Novelty and Inventive Step
The integration of IoT-enabled sensors, machine learning, computer vision, blockchain, and 3D printing in a single infusion system is novel and non-obvious compared to the original patent. The use of machine learning to predict optimal fluid replenishment schedules and the incorporation of blockchain to ensure data integrity and transparency are particularly innovative aspects of the present inventive concept.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include using different types of sensors, such as ultrasonic or capacitive sensors, or integrating the system with electronic health records (EHRs) to provide a more comprehensive view of patient data. The system could also be adapted for use in different medical settings, such as clinics or ambulances.
Potential Commercial Applications and Market
The intelligent infusion system has significant commercial potential in the healthcare industry, particularly in hospitals and clinics. The system's ability to provide real-time monitoring, personalized treatment recommendations, and data integrity and transparency could lead to improved patient outcomes, reduced costs, and enhanced efficiency. The market for infusion systems is expected to grow significantly in the coming years, driven by the increasing demand for advanced medical technologies.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61M5/1684 |
| A | A61 | A61J1/10 |
| A | A61 | A61M2205/18 |
| A | A61 | A61M2205/3306 |
| A | A61 | A61M2205/3327 |
| A | A61 | A61M2205/42 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical Device Technology, specifically Infusion Monitoring Systems, involving sensor integration, data tracking, and medical device instrumentation
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device technologist with expertise in sensor systems, data analytics, IoT technologies, and medical instrumentation design, holding a master's degree or equivalent professional experience
Obviousness Rationale
A PHOSITA would recognize that the PTD's integration of IoT sensors, machine learning, and blockchain represents predictable technological extensions of the source patent's fluid monitoring framework. The core fluid detection methodology remains fundamentally consistent, with the PTD introducing standard engineering enhancements like computer vision and adaptive analytics. These variations represent incremental improvements using well-established technological approaches within medical device monitoring systems.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,759 |
|---|---|
| Title | System for detecting and reporting fluid levels in an infusion device |