Synergistic Patient Monitoring System with AI, IoT, Blockchain, and Nanomaterials

Publication ID: 24-11857315_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Patient Monitoring System with AI, IoT, Blockchain, and Nanomaterials,” Published Technical Disclosure No. 24-11857315_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857315_0008_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. 11,857,315.

Summary of the Inventive Concept

A comprehensive patient monitoring system integrating AI, IoT, blockchain, and nanomaterial-based sensors to ensure accurate and reliable physiological parameter detection, predictive maintenance, and data integrity.

Background and Problem Solved

The original patent addressed the need for patient monitors capable of monitoring the quality of attached accessories. However, it did not leverage advancements in AI, IoT, blockchain, and nanomaterials to create a more robust and efficient system. The new inventive concept solves this problem by integrating these distinct technologies to create a synergistic patient monitoring system.

Detailed Description of the Inventive Concept

The system comprises a patient monitor integrated with an AI-powered sensor validation module, which uses machine learning algorithms to analyze sensor quality control information and predict potential sensor failures. Additionally, the system incorporates a blockchain-based data storage module to securely store and verify sensor quality control information, preventing tampering and ensuring trust in the data. The wearable sensor device features integrated IoT connectivity, enabling real-time monitoring and analysis of sensor performance and facilitating remote software updates. Furthermore, the system utilizes a nanomaterial-based sensor with enhanced sensitivity and specificity, which is optimized for accurate detection of physiological parameters. An AI-powered analytics engine predicts potential failures, enabling proactive maintenance and reducing downtime.

Novelty and Inventive Step

The new claims introduce a synergistic combination of AI, IoT, blockchain, and nanomaterials, which is not present in the original patent. The integration of these distinct technologies creates a more powerful and efficient patient monitoring system, providing a non-obvious solution to the problem of ensuring accurate and reliable physiological parameter detection.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different AI algorithms, incorporating additional IoT connectivity protocols, or utilizing alternative blockchain platforms. Variations could also include integrating the system with other medical devices or expanding its application to other medical fields.

Potential Commercial Applications and Market

The synergistic patient monitoring system has significant commercial potential in the healthcare industry, particularly in hospitals, clinics, and remote patient monitoring applications. The system's ability to ensure accurate and reliable physiological parameter detection, predictive maintenance, and data integrity makes it an attractive solution for healthcare providers seeking to improve patient outcomes and reduce costs.

Field of Art

Medical device monitoring systems, specifically patient monitoring technologies with sensor validation and quality control mechanisms

Person of Ordinary Skill (PHOSITA) Profile

An electrical engineer or biomedical engineer with expertise in medical sensor systems, signal processing, data validation techniques, and familiarity with emerging technologies like machine learning and IoT

Obviousness Rationale

A PHOSITA would recognize that the PTD's integration of AI, blockchain, and IoT technologies represents predictable extensions of the source patent's core sensor validation methodology. The fundamental problem of ensuring sensor reliability and data integrity remains consistent, with the PTD merely applying contemporary technological solutions to enhance the original patent's quality control approach. These technological additions represent incremental improvements using standard engineering design choices and known techniques in medical monitoring systems.

Obvious Combinations & Variations

Source Patent Element
Patient monitor with cable device authentication and sensor validation mechanisms
PTD Variation
AI-powered sensor validation module using machine learning to predict sensor failures
Obviousness Reasoning
Predictable application of machine learning to existing sensor validation techniques, representing an obvious enhancement to existing quality control methods
Source Patent Element
Sensor authentication codes and resistance value verification
PTD Variation
Blockchain-based data storage module for securing sensor quality control information
Obviousness Reasoning
Known technique of applying blockchain technology to enhance data integrity in existing authentication systems, representing a straightforward technological evolution
Source Patent Element
Patient monitoring system with sensor connectivity
PTD Variation
IoT-enabled wearable sensor with real-time performance monitoring and remote updates
Obviousness Reasoning
Predictable integration of IoT connectivity into existing medical monitoring systems, utilizing standard communication protocols and design approaches
Source Patent Element
Sensor resistance value verification and authentication
PTD Variation
Nanomaterial-based sensor with enhanced sensitivity and specificity
Obviousness Reasoning
Obvious materials science improvement using known techniques of sensor performance optimization, representing a standard engineering design choice
Source Patent Element
Patient monitor with sensor quality control mechanisms
PTD Variation
AI-powered analytics engine for predictive maintenance and failure prediction
Obviousness Reasoning
Straightforward application of machine learning techniques to existing diagnostic and monitoring approaches, representing a predictable technological evolution
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857315 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed combinations of AI, blockchain, IoT, and nanomaterial sensor technologies to be obvious extensions of existing patient monitoring system design principles, thereby rendering potential patent claims in this domain anticipated and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,315
TitlePatient monitor capable of monitoring the quality of attached probes and accessories
Assignee(s)MASIMO CORPORATION