Enhanced Patient Monitor with Real-time Accessory Quality Control and Predictive Analytics

Publication ID: 24-11857315_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Patient Monitor with Real-time Accessory Quality Control and Predictive Analytics,” Published Technical Disclosure No. 24-11857315_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857315_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. 11,857,315.

Summary of the Inventive Concept

An advanced patient monitoring system that ensures accurate patient data by monitoring the quality of attached accessories in real-time, predicting potential failures, and providing timely alerts to caregivers, thereby enhancing patient safety and reducing medical errors.

Background and Problem Solved

The original patent disclosed a patient monitor capable of monitoring the quality of attached probes and accessories. However, it had limitations in detecting unauthorized or malfunctioning accessories, which can lead to inaccurate patient data and compromised patient safety. The new inventive concept addresses these limitations by introducing real-time quality control, predictive analytics, and automated alert systems to ensure the reliability and accuracy of patient data.

Detailed Description of the Inventive Concept

The enhanced patient monitor system comprises a patient monitor, a plurality of authorized accessories, and a quality control module that verifies the authenticity and functionality of each accessory in real-time. The system utilizes machine learning algorithms to analyze historical usage data and predict potential probe or accessory failures. Upon detecting any unauthorized or malfunctioning accessories, the system alerts caregivers and can automatically switch to a backup accessory or initiate a replacement process. The system ensures accurate patient data by preventing the use of faulty or unauthorized accessories.

Novelty and Inventive Step

The new inventive concept introduces the novel combination of real-time quality control, predictive analytics, and automated alert systems, which provides a significant improvement over the original patent. The use of machine learning algorithms to predict potential failures and the automated response to unauthorized or malfunctioning accessories are non-obvious and innovative features that enhance patient safety and reduce medical errors.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, various types of sensors or cables, or integration with other medical devices. The system could also be adapted for use in different medical environments, such as hospitals, clinics, or home care settings.

Potential Commercial Applications and Market

The enhanced patient monitor system has significant commercial potential in the medical device industry, particularly in the patient monitoring and healthcare technology sectors. The system can be marketed to hospitals, clinics, and other healthcare providers, offering a unique value proposition of improved patient safety, reduced medical errors, and enhanced patient data accuracy.

Field of Art

Medical device monitoring systems, specifically patient monitoring technologies with accessory authentication and quality control mechanisms

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device technologist with expertise in sensor systems, electrical engineering, and medical instrumentation, possessing knowledge of patient monitoring technologies and signal processing

Obviousness Rationale

A person of ordinary skill would recognize that adding machine learning predictive analytics to an existing patient monitor accessory authentication system represents an incremental and predictable technological improvement. The source patent's foundational work on accessory verification provides a clear technical framework that naturally suggests advanced monitoring and predictive capabilities. The proposed variations represent logical extensions of existing accessory quality control methodologies using well-established machine learning techniques.

Obvious Combinations & Variations

Source Patent Element
Cable device with authentication code and sensor requirement table
PTD Variation
Machine learning algorithm for predicting accessory failures based on historical usage data
Obviousness Reasoning
Predictable application of known machine learning techniques to existing accessory verification systems, representing an obvious design optimization for enhancing monitoring reliability
Source Patent Element
Sensor authentication and resistance value verification
PTD Variation
Real-time quality control module that automatically alerts caregivers about unauthorized or malfunctioning accessories
Obviousness Reasoning
Logical extension of existing authentication mechanisms, using known alarm and notification technologies to improve patient safety
Source Patent Element
Patient monitor capable of checking accessory compatibility
PTD Variation
Automated backup accessory switching mechanism integrated with quality control system
Obviousness Reasoning
Predictable solution using known redundancy and failsafe design principles in medical monitoring equipment
Source Patent Element
Sensor information element with authentication codes
PTD Variation
Expanded accessory verification system incorporating multiple validation parameters and predictive analytics
Obviousness Reasoning
Obvious combination of existing authentication techniques with advanced data analysis methods to enhance system reliability
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857315 and the disclosed technical variations, a person of ordinary skill in the art would find the proposed patient monitoring system enhancements obvious and predictable. The combination of existing accessory authentication methods with machine learning predictive analytics represents an incremental technological improvement that would be apparent to a skilled practitioner, thereby rendering potential patent claims obvious 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