Synergistic Volume Responsiveness System

A novel system integrating pulse signal measurement, AI, IoT, blockchain, and machine learning to provide personalized fluid management plans and optimize patient care.

The original patent, Method, logic unit and system for determining a parameter representative for the patient's volume responsiveness, has limitations in providing personalized and secure fluid management plans. The new inventive concept addresses these limitations by synergistically combining distinct technologies to create a more powerful system.

The Synergistic Volume Responsiveness System consists of a pulse signal measurement unit, a logic unit, and a cloud-based AI module. The logic unit receives measured pulse signals and determines an indicator representative for volume responsiveness. The AI module is trained to analyze the indicator and provide a personalized fluid management plan for the patient. Additionally, the system can utilize a blockchain-based decentralized application to securely share the indicator with authorized healthcare professionals, and an IoT-enabled sensor network to monitor the patient's vital signs and provide real-time feedback. The system can also be integrated with a wearable device for monitoring volume responsiveness and a machine learning algorithm to identify patterns in the indicator and predict the patient's response to fluid therapy.

The new claims introduce the integration of AI, IoT, blockchain, and machine learning with pulse signal measurement, providing a non-obvious and novel solution for personalized fluid management and patient care.

Alternative embodiments may include using different types of sensors or wearables, integrating with electronic health records, or using different machine learning algorithms. Variations may include adapting the system for different patient populations or medical conditions.

The Synergistic Volume Responsiveness System has significant commercial potential in the healthcare industry, particularly in critical care and anesthesia. The system can improve patient outcomes, reduce healthcare costs, and enhance the overall quality of care.