AI-Driven Volume Responsiveness System with Integrated Technologies
Legal Citation
Summary of the Inventive Concept
A novel system integrating AI, IoT, blockchain, and nanomaterials to determine a patient's volume responsiveness, providing a more accurate and efficient fluid management approach.
Background and Problem Solved
The original patent's method for determining volume responsiveness relied solely on oscillometric non-invasive pulse measurements. However, this approach has limitations in terms of accuracy and real-time monitoring. The new inventive concept addresses these limitations by synergistically combining the patented method with advanced technologies, enabling a more comprehensive and effective fluid management system.
Detailed Description of the Inventive Concept
The AI-Driven Volume Responsiveness System comprises a wearable device equipped with nanomaterial-based sensors for measuring pulse signals. The signals are transmitted to an AI-powered processor, which analyzes the data using machine learning algorithms and generates a volume responsiveness indicator. The indicator is then stored in a cloud-based storage or blockchain-based decentralized storage, providing secure and accessible health records. Healthcare professionals can access the indicator through a user-friendly interface, enabling informed fluid management decisions. Additionally, IoT-enabled sensors can be integrated to enhance real-time monitoring and analysis.
Novelty and Inventive Step
The new claims introduce the novel combination of AI, IoT, blockchain, and nanomaterials with the original patented method, providing a synergistic improvement in accuracy, efficiency, and real-time monitoring. This integration enables a more comprehensive and effective fluid management system, which is not obvious from the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different AI algorithms, integration with other health monitoring devices, or implementation in various healthcare settings. Variations of the system could also include the use of different types of sensors or data analysis techniques.
Potential Commercial Applications and Market
The AI-Driven Volume Responsiveness System has significant commercial potential in the healthcare industry, particularly in critical care and emergency medicine. The system's ability to provide accurate and real-time volume responsiveness indicators can improve patient outcomes, reduce healthcare costs, and enhance the overall quality of care.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical Diagnostics and Patient Monitoring Systems, with expertise in physiological signal processing, medical sensor technologies, and data analysis techniques for patient volume responsiveness assessment
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical technology specialist with advanced knowledge of signal processing, machine learning, sensor technologies, and healthcare data management systems, holding advanced degrees and practical experience in medical device development
Obviousness Rationale
A person having ordinary skill in the art would recognize that integrating AI, IoT, and blockchain technologies with the existing volume responsiveness measurement method represents a predictable application of known technological solutions to enhance medical data collection and analysis. The fundamental approach of measuring patient pulse signals remains consistent with the source patent, while the proposed variations merely introduce standard technological improvements in data processing and storage. These modifications would be considered routine optimization and combination of known techniques within the medical technology domain.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,302 |
|---|---|
| Title | Method, logic unit and system for determining a parameter representative for the patient's volume responsiveness |
| Assignee(s) | PHILIPS MEDIZIN SYSTEME BÖBLINGEN GMBH |