AI-Integrated Patient Ventilating and Aspirating System

Publication ID: 24-11857725_0003_PTD

Published: October 28, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Integrated Patient Ventilating and Aspirating System,” Published Technical Disclosure No. 24-11857725_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857725_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. 11,857,725.

Summary of the Inventive Concept

The invention integrates a patient ventilating and aspirating system with AI-powered patient monitoring, IoT-enabled ventilator systems, blockchain-based data storage, and nanomaterials to optimize ventilation and aspiration parameters in real-time, enhancing patient safety and treatment outcomes.

Background and Problem Solved

The original patent disclosed a patient ventilating and aspirating system with a catheter tube connector for suction systems used with tracheostomy or endotracheal patient ventilation systems. However, the system lacked real-time optimization and integration with advanced technologies. The new inventive concept addresses these limitations by incorporating AI, IoT, blockchain, and nanomaterials to create a more powerful and effective system.

Detailed Description of the Inventive Concept

The AI-integrated patient ventilating and aspirating system consists of a catheter mount with a first passage connected to a patient connector, a second passage connected to a gases transport conduit, and a third passage covered by a seal. The system integrates with an AI-powered patient monitoring platform to analyze patient data and optimize ventilation and aspiration parameters in real-time. The system also incorporates an IoT-enabled ventilator system to monitor and adjust ventilation parameters, and a blockchain-based data storage system to securely record and analyze patient data and treatment outcomes. Additionally, the system utilizes nanomaterials to enhance the biocompatibility and durability of the catheter mount and aspirating assembly.

Novelty and Inventive Step

The new inventive concept combines the original patent's catheter tube connector with AI, IoT, blockchain, and nanomaterials to create a novel, synergistic system that optimizes ventilation and aspiration parameters in real-time. This integration of distinct technologies provides a non-obvious solution to the problem of patient safety and treatment outcomes.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept may include integrating the system with other advanced technologies, such as machine learning algorithms for predictive analytics or 3D-printed, patient-specific aspirating assemblies. Variations of the system may also include different types of sensors or monitoring systems to enhance patient safety and treatment outcomes.

Potential Commercial Applications and Market

The AI-integrated patient ventilating and aspirating system has significant commercial potential in the healthcare industry, particularly in the areas of critical care, anesthesia, and respiratory medicine. The system's ability to optimize ventilation and aspiration parameters in real-time enhances patient safety and treatment outcomes, making it an attractive solution for hospitals and healthcare providers.

CPC Classifications

Section	Class	Group
A	A61	A61M16/0463
A	A61	A61M16/0465
A	A61	A61M16/08
A	A61	A61M16/0816
A	A61	A61M16/0833
A	A61	A61M16/0875
A	A61	A61M16/109

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical device engineering, specifically respiratory support systems and catheter tube connectors for patient ventilation and aspiration, requiring advanced knowledge of medical device design, fluid dynamics, patient safety protocols, and emerging medical technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degree, expertise in respiratory support systems, familiarity with IoT, AI integration in medical technologies, and understanding of emerging sensor and materials technologies

Obviousness Rationale

A PHOSITA would recognize that integrating AI, IoT, and advanced materials into existing medical device architectures represents a predictable technological progression. The fundamental catheter mount structure remains consistent with the source patent, while the proposed technological enhancements represent incremental improvements using known techniques in medical device optimization. The combination of existing technologies to solve known problems in patient ventilation monitoring is a standard approach in medical device engineering.

Obvious Combinations & Variations

Source Patent Element

Catheter mount with multiple passages for patient connection and gas transport

PTD Variation

Adding IoT-enabled monitoring and real-time parameter adjustment

Obviousness Reasoning

Integrating digital monitoring into medical devices is a known technique with predictable results in improving patient safety and treatment precision

Source Patent Element

Suction tube and aspirating assembly design

PTD Variation

Incorporating nanomaterials to enhance biocompatibility and durability

Obviousness Reasoning

Material science improvements are a standard approach in medical device engineering, representing an obvious design optimization with foreseeable benefits

Source Patent Element

Basic patient ventilation system connector

PTD Variation

Implementing AI-powered predictive analytics for patient monitoring

Obviousness Reasoning

Applying machine learning to medical device data represents a logical extension of existing monitoring technologies with clear potential for improved outcomes

Source Patent Element

Standard medical device data management

PTD Variation

Blockchain-based secure data storage and analysis

Obviousness Reasoning

Implementing advanced data security techniques is an obvious solution to known medical record management challenges

Source Patent Element

Generic medical device design

PTD Variation

3D-printed, patient-specific aspirating assemblies

Obviousness Reasoning

Personalization through additive manufacturing is a predictable technological progression in medical device customization

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857725 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed AI-integrated, IoT-enabled patient ventilation system with blockchain data management and nanomaterial enhancements to be an obvious combination of known techniques, rendering potential claims in this domain unpatentable under 35 U.S.C. Section 103 due to the predictable application of known technologies to solve existing medical monitoring challenges.

Original Patent Information

Patent Number	US 11,857,725
Title	Patient ventilating and aspirating system
Assignee(s)	Fisher & Paykel Healthcare Limited