Synergistic Intraocular Physiological Sensor System

The inventive concept integrates an intraocular physiological sensor with distinct technologies, such as AI, IoT, blockchain, and new materials, to create a more powerful system for monitoring and managing intraocular pressure, enhancing patient care and improving health outcomes.

The original patent, 'Intraocular physiological sensor', provides a foundational technology for measuring intraocular pressure. However, it has limitations in terms of data analysis, storage, and remote monitoring. The new inventive concept addresses these limitations by incorporating synergistic combinations of technologies to create a more comprehensive and effective system.

The inventive concept comprises an intraocular physiological sensor, IoT-enabled communication modules, machine learning algorithms, blockchain-based health record systems, wearable devices, and remote monitoring stations. The sensor captures intraocular pressure measurements, which are transmitted to a cloud-based server for analysis using machine learning algorithms. The system can predict glaucoma risk, generate unique identifiers for the sensor, associate the sensor with a patient's electronic health record, and securely store sensor data on the blockchain. The wearable device presents real-time intraocular pressure readings and alerts, while the remote monitoring station provides a decision support system for alerting healthcare professionals to abnormal pressure readings.

The new claims introduce novel combinations of technologies, including IoT, blockchain, AI, and new materials, which provide a significant improvement over the original patent. The inventive concept's synergistic integration of these technologies enables a more comprehensive and effective system for monitoring and managing intraocular pressure.

Alternative embodiments of the inventive concept could include the use of different communication protocols, such as 5G or Wi-Fi, or the integration of additional sensors, such as temperature or humidity sensors, to provide a more comprehensive picture of intraocular health. Variations could also include the use of different machine learning algorithms or blockchain platforms to enhance the system's functionality.

The inventive concept has significant commercial potential in the healthcare industry, particularly in the areas of ophthalmology and optometry. The system could be marketed as a comprehensive solution for monitoring and managing intraocular pressure, enhancing patient care and improving health outcomes.