Enhanced Infusion Device Fluid Level Detection and Reporting System

Publication ID: 24-11857759_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Infusion Device Fluid Level Detection and Reporting System,” Published Technical Disclosure No. 24-11857759_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857759_0006_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. 11,857,759.

Summary of the Inventive Concept

An improved system for detecting and reporting fluid levels in an infusion device, enhancing accuracy, efficiency, and reliability through self-calibration, automated infusion rate adjustment, compact design, machine learning-based prediction, and redundant backup power.

Background and Problem Solved

The original patent, 'System for detecting and reporting fluid levels in an infusion device,' has limitations in terms of accuracy, size, and reliability. The new inventive concept addresses these limitations by introducing direct improvements and enhancements, providing a more efficient, safer, and more reliable system for medical personnel.

Detailed Description of the Inventive Concept

The enhanced system comprises a self-calibrating mechanism that adjusts light source intensity based on ambient light conditions, ensuring accurate fluid level detection. It also features a method for monitoring fluid levels, which involves detecting changes in light refraction patterns and automatically adjusting the infusion rate in response to changes in fluid level. The system integrates the light source and light sensor into a single, compact unit, reducing overall system size and improving portability. Additionally, it utilizes a machine learning algorithm to analyze historical fluid level data and predict optimal infusion rates. The system also includes a redundant backup power source to ensure continuous operation in the event of primary power failure.

Novelty and Inventive Step

The new claims introduce novel and non-obvious features, including self-calibration, automated infusion rate adjustment, compact design, machine learning-based prediction, and redundant backup power. These features provide a significant improvement over the original patent, enhancing the overall system performance, efficiency, and reliability.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of sensors, such as ultrasonic or capacitive sensors, or integrating the system with other medical devices, such as patient monitoring systems or electronic health records. Variations could also include adapting the system for use with different types of infusion devices or fluids.

Potential Commercial Applications and Market

The enhanced infusion device fluid level detection and reporting system has significant commercial potential in the medical device industry, particularly in hospitals and healthcare facilities. The system's improved accuracy, efficiency, and reliability make it an attractive solution for medical personnel, and its compact design and machine learning-based prediction capabilities make it suitable for integration into existing medical infrastructure.

CPC Classifications

SectionClassGroup
A A61 A61M5/1684
A A61 A61J1/10
A A61 A61M2205/18
A A61 A61M2205/3306
A A61 A61M2205/3327
A A61 A61M2205/42

Field of Art

Medical Device Engineering, specifically infusion systems and fluid monitoring technologies, requiring expertise in sensor design, medical instrumentation, and control systems for medical devices

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with a graduate degree, 3-5 years experience in medical device design, familiar with sensor technologies, control systems, and medical device regulatory requirements

Obviousness Rationale

A PHOSITA would recognize that the PTD's variations represent predictable engineering improvements to the source patent's fluid monitoring system. The disclosed enhancements like self-calibration, machine learning prediction, and compact design are logical extensions of existing fluid detection technologies. These modifications represent standard problem-solving approaches in medical device engineering that would be apparent to a skilled practitioner seeking to optimize fluid monitoring systems.

Obvious Combinations & Variations

Source Patent Element
Light source and light sensors positioned on a movable element for fluid level detection
PTD Variation
Integrating light source and light sensor into a single compact unit with self-calibration mechanism
Obviousness Reasoning
Miniaturization and sensor integration are predictable design improvements that a PHOSITA would find obvious to reduce system complexity and improve portability
Source Patent Element
Control system for monitoring fluid levels
PTD Variation
Machine learning algorithm to analyze historical fluid level data and predict optimal infusion rates
Obviousness Reasoning
Applying predictive analytics to medical device monitoring is a known technique for enhancing system performance, representing an obvious optimization to existing control systems
Source Patent Element
Reporting and warning module for system performance monitoring
PTD Variation
Automated infusion rate adjustment based on detected fluid level changes
Obviousness Reasoning
Dynamic system response is a standard engineering approach to improving device functionality, which would be an obvious extension to existing monitoring capabilities
Source Patent Element
Basic fluid level detection system
PTD Variation
Redundant backup power source to ensure continuous operation
Obviousness Reasoning
Implementing redundant power systems is a well-known reliability engineering technique that would be obvious to a PHOSITA seeking to improve medical device reliability
Source Patent Element
Light-based fluid level detection mechanism
PTD Variation
Ambient light condition compensation through dynamic light source intensity adjustment
Obviousness Reasoning
Sensor calibration techniques are standard practice in measurement technologies, representing an obvious improvement to existing detection methods
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857759 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed innovations obvious and therefore unpatentable. The proposed enhancements represent predictable engineering solutions that would be apparent to a skilled practitioner, lacking the requisite non-obviousness for patent protection under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,759
TitleSystem for detecting and reporting fluid levels in an infusion device