Intelligent Medical Device Management with Real-Time Analytics

Publication ID: 24-11857755_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Intelligent Medical Device Management with Real-Time Analytics,” Published Technical Disclosure No. 24-11857755_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857755_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. 11,857,755.

Summary of the Inventive Concept

A system for optimizing fluid delivery in medical environments using real-time data analytics, machine learning, and cloud-based infrastructure to improve patient care and reduce errors.

Background and Problem Solved

Conventional infusion pumps and medical device management systems lack real-time analytics and predictive capabilities, leading to inefficiencies, errors, and compromised patient care. The original patent's limitation lies in its reliance on manual input and lack of proactive optimization. This new inventive concept addresses these limitations by introducing advanced analytics and machine learning to optimize fluid delivery and improve patient outcomes.

Detailed Description of the Inventive Concept

The system comprises a data analytics module, a communication interface, and a cloud-based infrastructure. The data analytics module processes medical information from various fluid delivery devices and generates optimized fluid delivery parameters. The communication interface transmits these optimized parameters to the devices, ensuring seamless integration. The cloud-based infrastructure enables secure data storage, processing, and analysis. Additionally, a machine learning module predicts fluid delivery needs based on historical data and real-time inputs, further optimizing the system. A user interface provides caregivers with access to fluid delivery data, enabling informed decision-making.

Novelty and Inventive Step

The new claims introduce the use of real-time data analytics, machine learning, and cloud-based infrastructure to optimize fluid delivery, which is a significant departure from the original patent's manual input-based approach. The inventive step lies in the integration of these advanced technologies to create a proactive, data-driven system that improves patient care and reduces errors.

Alternative Embodiments and Variations

Alternative embodiments may include the use of edge computing, fog computing, or other distributed computing architectures to process medical information. Variations may also include integrating the system with electronic health records, medical billing systems, or other healthcare infrastructure to further enhance its functionality.

Potential Commercial Applications and Market

This inventive concept has significant commercial potential in the healthcare industry, particularly in hospitals, clinics, and other medical facilities. The system can be marketed as a premium solution for optimizing fluid delivery, improving patient care, and reducing costs associated with errors and inefficiencies.

CPC Classifications

SectionClassGroup
A A61 A61M5/142
G G16 G16H20/17
G G16 G16H40/20
G G16 G16H40/67
A A61 A61M2205/3561
A A61 A61M2205/6009

Field of Art

Medical device management systems, specifically infusion pump networks and healthcare technology integration, involving networked medical devices, data communication, and fluid delivery optimization

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or healthcare technology specialist with expertise in medical device networking, data analytics, embedded systems design, and healthcare information technology, possessing knowledge of medical device communication protocols and cloud-based healthcare solutions

Obviousness Rationale

A person having ordinary skill would recognize that extending the source patent's device association and communication framework with modern data analytics and machine learning techniques represents a predictable technological progression. The fundamental networking and device communication concepts from the source patent provide a clear foundation for integrating advanced data processing and optimization strategies. The PTD's variations leverage well-established technological approaches to enhance the existing medical device management paradigm.

Obvious Combinations & Variations

Source Patent Element
Network-based device association and communication between fluid delivery devices
PTD Variation
Adding cloud-based infrastructure and data analytics for processing medical device information
Obviousness Reasoning
Integrating cloud computing with existing medical device networks is a known technique for enhancing data processing and device management, representing a predictable technological evolution
Source Patent Element
Manual device invitation and group joining mechanism
PTD Variation
Implementing machine learning to predict and optimize fluid delivery parameters
Obviousness Reasoning
Applying machine learning to existing device communication frameworks is a standard approach for improving system intelligence and performance, utilizing finite identified solution strategies
Source Patent Element
Display of medical information across associated devices
PTD Variation
Creating advanced user interfaces with real-time analytics and anomaly detection
Obviousness Reasoning
Enhancing device interfaces with more sophisticated data visualization is a natural design progression driven by advances in computing and user experience technologies
Source Patent Element
Device-to-device communication protocols
PTD Variation
Implementing distributed computing architectures like edge and fog computing
Obviousness Reasoning
Exploring alternative computing models for medical device networks represents an obvious extension of existing communication paradigms, driven by known technological trends
Source Patent Element
Medical device information sharing
PTD Variation
Integrating electronic health records and medical billing systems
Obviousness Reasoning
Expanding device information ecosystems through standard healthcare IT integration is a predictable and logical technological development
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857755 and the technological context of medical device management systems, the variations disclosed herein would have been obvious to a person having ordinary skill in the art at the time of invention. The incremental technological advancements, including cloud-based analytics, machine learning, and enhanced device communication strategies, represent predictable extensions of existing medical device networking concepts, thereby rendering potential claims obvious under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,755
TitleMedical device management using associations
Assignee(s)Fresenius Kabi USA, LLC