Intelligent Tablet Dispensing System with Integrated Technologies
Legal Citation
Summary of the Inventive Concept
An innovative system that combines a tablet cassette with AI, IoT, blockchain, and machine learning technologies to automate and optimize tablet dispensing in hospitals, pharmacies, and other healthcare settings.
Background and Problem Solved
The original tablet cassette patent, while effective, had limitations in terms of automation, inventory management, and dispensing efficiency. The new inventive concept addresses these limitations by integrating distinct technologies to create a more powerful and efficient system.
Detailed Description of the Inventive Concept
The system comprises a tablet cassette, an AI-powered tablet dispenser, and a blockchain-based inventory management system. The AI-powered dispenser uses machine learning algorithms to optimize dispensing schedules based on historical data and patient prescriptions. The blockchain-based system tracks tablets dispensed, ensuring accurate inventory management and preventing counterfeiting. IoT-enabled sensors detect the presence of tablets and trigger alerts when they are running low.
Novelty and Inventive Step
The new inventive concept's integration of AI, IoT, blockchain, and machine learning technologies with the original tablet cassette patent's components provides a novel and non-obvious solution for automating and optimizing tablet dispensing. The synergistic combination of these technologies enables a more efficient, accurate, and secure system.
Alternative Embodiments and Variations
Alternative embodiments could include integrating the tablet cassette with other technologies, such as robotic arms or autonomous vehicles, to further automate the dispensing process. Variations could include adapting the system for use in different healthcare settings or for dispensing other types of medication.
Potential Commercial Applications and Market
The intelligent tablet dispensing system has significant commercial potential in the healthcare industry, particularly in hospitals, pharmacies, and long-term care facilities. The system's ability to optimize dispensing schedules, reduce errors, and improve inventory management could lead to cost savings and improved patient outcomes.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61J1/03 |
| B | B65 | B65B35/06 |
| B | B65 | B65B35/46 |
| G | G07 | G07F17/0092 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical device automation, pharmaceutical dispensing systems, and robotic medication management technologies, with expertise in mechanical design, sensor integration, and inventory control systems
Person of Ordinary Skill (PHOSITA) Profile
A professional with a degree in mechanical engineering or biomedical engineering, experience in medical device design, understanding of automation technologies, and knowledge of pharmaceutical dispensing mechanisms
Obviousness Rationale
A PHOSITA would recognize that integrating digital technologies like AI, blockchain, and IoT with existing mechanical tablet dispensing systems represents a predictable extension of known automation trends. The core mechanical functionality of the tablet cassette remains substantially unchanged, with digital layers added to enhance tracking, optimization, and efficiency. These technological integrations would be considered routine engineering adaptations in the field of medical device automation.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,492 |
|---|---|
| Title | Tablet cassette |
| Assignee(s) | TOSHO, INC. |