Synergistic Volume Responsiveness System

Publication ID: 24-11857302_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Volume Responsiveness System,” Published Technical Disclosure No. 24-11857302_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857302_0003_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,302.

Summary of the Inventive Concept

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

Background and Problem Solved

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.

Detailed Description of the Inventive Concept

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.

Novelty and Inventive Step

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 and Variations

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.

Potential Commercial Applications and Market

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.

Field of Art

Medical monitoring systems, specifically patient physiological parameter measurement and analysis, with expertise in pulse signal processing, volume responsiveness assessment, and medical data interpretation

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device specialist with advanced knowledge of signal processing, machine learning techniques, medical sensor technologies, and healthcare data management systems, holding at least a master's degree with 3-5 years of relevant experience

Obviousness Rationale

A PHOSITA would recognize that integrating modern computational technologies like AI, blockchain, and IoT with existing pulse signal measurement techniques represents a predictable extension of the source patent's core volume responsiveness methodology. The fundamental pulse signal analysis remains consistent, with the PTD merely adding contemporary data processing and communication technologies to enhance the original invention's diagnostic capabilities. These technological additions would be considered routine optimization and implementation of known techniques within the medical monitoring domain.

Obvious Combinations & Variations

Source Patent Element
Pulse signal measurement method for determining patient volume responsiveness
PTD Variation
Adding AI-driven analysis and personalized fluid management planning
Obviousness Reasoning
Applying machine learning to medical signal processing is a well-established technique, representing a predictable application of known computational methods to existing medical diagnostic approaches
Source Patent Element
Non-invasive pulse signal detection system
PTD Variation
Integrating IoT sensor networks for real-time vital sign monitoring
Obviousness Reasoning
Extending signal measurement with continuous monitoring is a logical and foreseeable enhancement using standard telecommunications and sensor integration techniques
Source Patent Element
Patient physiological parameter determination method
PTD Variation
Implementing blockchain for secure medical data sharing
Obviousness Reasoning
Utilizing blockchain for secure medical data transmission represents a standard approach to addressing healthcare information privacy concerns, utilizing well-known cryptographic techniques
Source Patent Element
Pulse signal analysis for volume responsiveness
PTD Variation
Developing wearable device with integrated pulse signal measurement
Obviousness Reasoning
Miniaturizing medical monitoring technologies into wearable form factors is a predictable technological progression driven by ongoing trends in personal healthcare monitoring
35 U.S.C. § 103 Summary: Based on US Patent 11857302's foundational volume responsiveness measurement methodology, the present publication demonstrates that the integration of AI, IoT, blockchain, and machine learning technologies with pulse signal analysis represents an obvious variation to a Person Having Ordinary Skill In The Art, thereby establishing prior art that would render substantially similar technical claims obvious and non-patentable.

Original Patent Information

Patent NumberUS 11,857,302
TitleMethod, logic unit and system for determining a parameter representative for the patient's volume responsiveness
Assignee(s)PHILIPS MEDIZIN SYSTEME BĂ–BLINGEN GMBH