Intelligent Catheter Systems for Real-time Occlusion Prediction and Prevention

Publication ID: 24-11857734_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Catheter Systems for Real-time Occlusion Prediction and Prevention,” Published Technical Disclosure No. 24-11857734_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857734_0010_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. 11,857,734.

Summary of the Inventive Concept

Next-generation catheter systems that utilize artificial intelligence, machine learning, and real-time imaging to predict and prevent occlusion, ensuring safer and more effective infusion therapies.

Background and Problem Solved

The original patent addresses the issue of catheter occlusion, but it relies on manual intervention and lacks real-time predictive capabilities. The new inventive concept overcomes these limitations by integrating AI-powered sensors and machine learning algorithms to proactively detect and prevent occlusion, reducing the risk of complications and improving patient outcomes.

Detailed Description of the Inventive Concept

The new inventive concept comprises a catheter assembly with integrated sensors for detecting blood flashback, a machine learning module for analyzing the detected data to predict occlusion risk, and a notification module for alerting clinicians of potential occlusion. The system can also include a robotic arm for autonomous catheter insertion, real-time imaging feedback for trajectory adjustment, and a wearable device for continuous monitoring. Additionally, a virtual reality training system can be used to educate clinicians on optimal insertion techniques and occlusion risk management.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in catheter technology by leveraging AI, machine learning, and real-time imaging to predict and prevent occlusion. This approach is distinct from the original patent's focus on manual flushing and alerts, providing a more proactive and autonomous solution for catheter management.

Alternative Embodiments and Variations

Alternative embodiments may include variations in sensor types, machine learning algorithms, and notification methods. For example, the system could utilize optical or acoustic sensors instead of blood flashback detection, or incorporate natural language processing for more intuitive clinician notifications. Other variations may include integration with electronic health records, telemedicine platforms, or personalized medicine approaches.

Potential Commercial Applications and Market

The new inventive concept has significant commercial potential in the medical device industry, particularly in the fields of infusion therapy, vascular access, and patient safety. The market for intelligent catheter systems is expected to grow as healthcare providers increasingly adopt digital health technologies and prioritize patient-centered care.

CPC Classifications

SectionClassGroup
A A61 A61M25/00
A A61 A61M5/14
A A61 A61M39/28
G G16 G16H10/60
A A61 A61M2005/1403
A A61 A61M2025/0019
A A61 A61M2205/18
A A61 A61M2205/3327
A A61 A61M2205/3334
A A61 A61M2205/3584
A A61 A61M2205/581
A A61 A61M2205/582
A A61 A61M2205/583
A A61 A61M2205/587

Field of Art

Medical Device Technology, specifically Catheter Systems and Intervention Technologies, encompassing medical device design, sensor integration, and patient monitoring systems

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in catheter technologies, sensor systems, data analysis, and clinical workflow optimization, typically holding a Master's or PhD in biomedical engineering with 3-5 years of industry experience

Obviousness Rationale

A PHOSITA would recognize that the PTD's AI-enhanced catheter system represents a predictable technological evolution from the source patent's clamp and alert system. The core functional objective of preventing catheter occlusion remains consistent, with the PTD merely introducing more sophisticated sensing, machine learning, and autonomous intervention techniques. These advancements represent incremental improvements using standard engineering approaches to enhance existing medical device technologies.

Obvious Combinations & Variations

Source Patent Element
Clamp with onboard computing system for detecting catheter status
PTD Variation
Machine learning module for predicting occlusion risk using blood flashback sensors
Obviousness Reasoning
Extending a basic sensor-based detection system to include predictive analytics is a known technique in medical device design, representing a predictable application of machine learning to existing monitoring technologies
Source Patent Element
Alert transmission for catheter management
PTD Variation
Robotic arm with real-time imaging feedback for autonomous catheter insertion
Obviousness Reasoning
Automating manual clinical procedures through robotics and sensor integration is a standard engineering approach for improving medical intervention precision and reducing human error
Source Patent Element
Electronic health record integration for tracking catheter status
PTD Variation
Wearable device and telemedicine platform for continuous catheter monitoring
Obviousness Reasoning
Extending electronic medical record systems to include continuous remote monitoring represents a logical progression in patient care technology using standard communication and sensor integration techniques
Source Patent Element
Clamp with timer and flush module
PTD Variation
Virtual reality training system for catheter insertion techniques
Obviousness Reasoning
Creating simulation-based training tools for medical procedures is a well-established method for improving clinical skill transfer, representing a predictable extension of existing medical education technologies
Source Patent Element
Sensor-based catheter management system
PTD Variation
AI-powered natural language processing for clinician notifications
Obviousness Reasoning
Enhancing user interfaces and notification systems through advanced language processing is a standard approach in human-computer interaction design, particularly in medical technology
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857734 and the published technical disclosure, a person of ordinary skill in the art would find the claimed variations obvious, as they represent predictable technological extensions using standard engineering techniques to enhance catheter monitoring, intervention, and training technologies. The disclosed innovations constitute obvious combinations of known medical device design principles, sensor integration methods, and artificial intelligence applications.

Original Patent Information

Patent NumberUS 11,857,734
TitleCatheter system clamp, systems, and methods
Assignee(s)Becton, Dickinson and Company