Enhanced Bleeding Detection and Fluid Resuscitation System using AI, IoT, and Blockchain

Publication ID: 24-11857293_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Enhanced Bleeding Detection and Fluid Resuscitation System using AI, IoT, and Blockchain,” Published Technical Disclosure No. 24-11857293_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857293_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. 11,857,293.

Summary of the Inventive Concept

The present inventive concept integrates bleeding detection technology with AI, IoT, and blockchain to create a more powerful system for rapid detection of bleeding and optimized fluid resuscitation, enabling medical personnel to respond promptly and effectively.

Background and Problem Solved

The original patent disclosed a method for rapid detection of bleeding before, during, and after fluid resuscitation. However, this method relied solely on cardiovascular data analysis and lacked integration with other technologies to enhance its capabilities. The present inventive concept addresses this limitation by incorporating AI, IoT, and blockchain to create a more comprehensive and efficient system.

Detailed Description of the Inventive Concept

The enhanced bleeding detection and fluid resuscitation system consists of a sensor array, a computer system integrated with a blockchain network, an AI-powered analysis module, and a notification module. The sensor array captures physiological data from the patient, which is transmitted to the computer system for analysis using machine learning algorithms. The blockchain network ensures secure, decentralized data storage and transmission. The AI-powered analysis module estimates the probability of bleeding and fluid resuscitation needs, while the notification module alerts medical personnel via a secure communication channel. The system can be implemented in various embodiments, including wearable devices, cloud-based AI systems, and IoT networks.

Novelty and Inventive Step

The integration of AI, IoT, and blockchain with bleeding detection technology is novel and non-obvious compared to the original patent. The use of decentralized communication channels, machine learning algorithms, and secure data storage enables a more efficient and effective system for rapid bleeding detection and fluid resuscitation.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept include the use of different sensor modalities, such as PPG waveform data or other physiological data. Variations of the system could include integration with other technologies, such as new materials or robotics, to further enhance its capabilities.

Potential Commercial Applications and Market

The enhanced bleeding detection and fluid resuscitation system has significant commercial potential in the medical device and healthcare industries. It can be marketed as a standalone system or integrated into existing medical devices, offering a competitive advantage in terms of speed, accuracy, and security.

Field of Art

Medical monitoring systems, physiological data analysis, and patient bleeding detection technologies, with expertise in sensor-based medical diagnostics, machine learning, and real-time physiological data processing

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical technology specialist with advanced knowledge of sensor systems, data analysis algorithms, and medical monitoring techniques, capable of integrating multiple technological approaches to improve patient monitoring

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's integration of AI, blockchain, and IoT technologies represents a predictable extension of the source patent's core bleeding detection methodology. The fundamental approach of monitoring physiological data to estimate bleeding probability remains consistent, with the PTD merely applying known technological enhancement techniques to improve data collection, analysis, and communication. The core diagnostic principles are preserved while introducing standard technological augmentations that would be readily conceived by a skilled practitioner.

Obvious Combinations & Variations

Source Patent Element
Monitoring physiological data to estimate bleeding probability using sensor-based cardiovascular data collection
PTD Variation
Extending sensor data collection to include AI-powered machine learning analysis and blockchain-secured data transmission
Obviousness Reasoning
Applying machine learning to medical diagnostic data is a known technique for improving predictive accuracy, and blockchain represents a standard approach to secure data transmission in medical technologies
Source Patent Element
Estimating bleeding probability through computational analysis of physiological data
PTD Variation
Implementing cloud-based AI systems and IoT networks to enhance data processing and remote monitoring capabilities
Obviousness Reasoning
Distributed computing and IoT technologies are predictable extensions for improving medical monitoring systems, representing a standard design optimization approach
Source Patent Element
Cardiovascular data monitoring for bleeding detection
PTD Variation
Incorporating PPG waveform data and alternative sensor modalities for comprehensive physiological monitoring
Obviousness Reasoning
Expanding sensor types to capture additional physiological indicators is an obvious approach for improving diagnostic precision, utilizing known medical sensing technologies
Source Patent Element
Computer-based analysis of patient physiological data
PTD Variation
Creating personalized bleeding risk profiles using machine learning algorithms and secure web-based interfaces
Obviousness Reasoning
Personalizing medical diagnostics through machine learning represents a standard technological progression in medical monitoring systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857293 for bleeding detection methods, the present published technical disclosure demonstrates that the integration of AI, blockchain, and IoT technologies into physiological monitoring systems would be obvious to a person having ordinary skill in the art, thereby establishing prior art that anticipates and renders obvious subsequent claims involving similar technological augmentations in medical diagnostic systems.

Original Patent Information

Patent NumberUS 11,857,293
TitleRapid detection of bleeding before, during, and after fluid resuscitation