Enhanced Air Delivery Systems for Personalized Patient Care

Publication ID: 24-11857723_0003_PTD

Published: October 28, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Enhanced Air Delivery Systems for Personalized Patient Care,” Published Technical Disclosure No. 24-11857723_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857723_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. 11,857,723.

Summary of the Inventive Concept

The disclosed inventive concept integrates devices for delivering air to a patient with advanced technologies such as AI, IoT, blockchain, and novel nanomaterials to create a more efficient, personalized, and secure air delivery system.

Background and Problem Solved

The original patent described devices and methods for delivering air to a patient, primarily focused on CPR procedures. However, the patent's limitations lie in its inability to provide personalized ventilation recommendations, real-time vital sign monitoring, secure data storage, and enhanced air purification. The new inventive concept addresses these limitations by synergistically combining the original device with cutting-edge technologies.

Detailed Description of the Inventive Concept

The inventive concept comprises a device for delivering air to a patient, as described in the original patent, integrated with various advanced technologies. The first embodiment combines the device with an AI-powered respiratory monitoring system, which receives data from the device and provides personalized ventilation recommendations. The second embodiment integrates IoT sensors to monitor the patient's vital signs and adjust ventilation parameters accordingly. The third embodiment utilizes a blockchain-based data storage system to securely store and share patient ventilation data with authorized healthcare providers. The fourth embodiment incorporates a novel nanomaterial-based air filter, providing enhanced air purification and reducing the risk of infection. The fifth embodiment employs a machine learning algorithm that predicts patient respiratory failure and alerts healthcare providers to take preventive measures.

Novelty and Inventive Step

The new inventive concept's novelty lies in the synergistic integration of the original device with distinct technologies, resulting in a more powerful, personalized, and secure air delivery system. The inventive step is the unexpected combination of these technologies, which provides a non-obvious solution to the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the device with other AI-powered systems, such as predictive analytics or natural language processing. Variations may involve using different types of sensors, materials, or algorithms to achieve similar results.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the medical device industry, particularly in the areas of respiratory care, emergency medicine, and patient monitoring. The target market includes hospitals, clinics, and healthcare providers seeking to improve patient outcomes and reduce costs.

CPC Classifications

Section	Class	Group
A	A61	A61M16/0048
A	A61	A61M16/0072
A	A61	A61M16/0003
A	A61	A61M16/0078
A	A61	A61M2016/0027

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical device engineering, specifically respiratory and ventilation technologies, focusing on air delivery systems for patient care with expertise in sensor integration, airflow management, and medical device control systems

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degree, working knowledge of pneumatic systems, sensor technologies, data integration techniques, and experience in developing medical respiratory devices

Obviousness Rationale

A PHOSITA would recognize that the published technical disclosure represents predictable combinations of known medical device technologies with the source patent's core air delivery mechanism. The variations represent standard engineering approaches to enhancing medical devices through sensor integration, data management, and adaptive technologies. The technical solutions proposed are logical extensions of existing medical device design principles and would be considered routine optimization by a skilled practitioner.

Obvious Combinations & Variations

Source Patent Element

Device with airflow sensor and impeller-based air delivery system

PTD Variation

Integration of AI-powered respiratory monitoring system receiving device data

Obviousness Reasoning

Adding intelligent data processing to sensor-equipped medical devices is a known technique in medical technology, representing a predictable application of machine learning to existing sensor-based systems

Source Patent Element

First portion with airflow inlet and sensor configuration

PTD Variation

IoT sensor integration for monitoring patient vital signs and adjusting ventilation parameters

Obviousness Reasoning

Expanding sensor capabilities to provide more comprehensive patient monitoring is a standard design approach in medical device engineering, representing an obvious enhancement to the original device's sensing capabilities

Source Patent Element

Device configured to sense and respond to airflow characteristics

PTD Variation

Blockchain-based secure data storage and sharing of patient ventilation information

Obviousness Reasoning

Implementing secure data management techniques is a predictable solution for medical devices handling patient-specific information, representing a logical extension of existing data handling practices

Source Patent Element

Air delivery device with inlet and outlet configurations

PTD Variation

Nanomaterial-based air filtration system for enhanced purification

Obviousness Reasoning

Improving air filtration through advanced materials is a standard approach in medical device design, representing an obvious optimization of existing air handling technologies

Source Patent Element

Sensor-driven impeller movement and airflow control

PTD Variation

Machine learning algorithm predicting respiratory failure and generating healthcare provider alerts

Obviousness Reasoning

Applying predictive analytics to medical sensor data is a known technique for enhancing diagnostic capabilities, representing a predictable evolution of sensor-based medical technologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857723 and the published technical disclosure, a person having ordinary skill in the art would find the proposed variations obvious and lacking inventive step. The combinations represent standard engineering approaches to medical device enhancement, utilizing known techniques of sensor integration, data processing, and adaptive technologies to extend the original device's functionality through predictable and routine modifications.

Original Patent Information

Patent Number	US 11,857,723
Title	Devices and methods for delivering air to a patient