Published Technical Disclosure Archive

Enhanced Automated Peritoneal Dialysis System

Publication ID: 24-11857713_0006_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Automated Peritoneal Dialysis System,” Published Technical Disclosure No. 24-11857713_0006_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857713_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. 11,857,713.

Summary of the Inventive Concept

An improved automated peritoneal dialysis system that leverages machine learning, predictive analytics, and real-time sensor feedback to optimize ultrafiltration rates, minimize glucose exposure, and improve treatment outcomes.

Background and Problem Solved

The original automated peritoneal dialysis system, while adaptable to patient needs, has limitations in terms of optimizing ultrafiltration rates, minimizing glucose exposure, and ensuring personalized treatment regimens. The new inventive concept addresses these limitations by integrating advanced analytics and real-time feedback to improve treatment outcomes and patient quality of life.

Detailed Description of the Inventive Concept

The enhanced automated peritoneal dialysis system comprises a predictive analytics module that utilizes machine learning algorithms to optimize ultrafiltration rates based on a patient's historical treatment data and real-time sensor feedback. The system also features a user interface for patients to input their lifestyle preferences and receive personalized treatment regimens. Additionally, a data analytics module correlates treatment outcomes with patient-reported quality of life metrics. The system can also remotely monitor and optimize peritoneal dialysis, using a cloud-based server and artificial intelligence-powered algorithm to identify trends and anomalies in treatment data and provide personalized recommendations for therapy adjustments. Furthermore, the system can generate optimized treatment regimens using a genetic algorithm, ranking regimens based on a patient's therapy targets and lifestyle needs.

Novelty and Inventive Step

The new inventive concept introduces the novel combination of machine learning, predictive analytics, and real-time sensor feedback to optimize ultrafiltration rates, which is not present in the original patent. The integration of these advanced analytics capabilities with the automated peritoneal dialysis system represents a significant inventive step.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, integration with wearable devices or mobile apps, or the development of specialized software for remote monitoring and optimization. Variations could also include the application of this technology to other forms of dialysis or medical treatments.

Potential Commercial Applications and Market

The enhanced automated peritoneal dialysis system has significant commercial potential in the medical device and healthcare industries, particularly in the growing market for home dialysis and personalized medicine. The system's ability to improve treatment outcomes, reduce healthcare costs, and enhance patient quality of life makes it an attractive solution for healthcare providers, patients, and payers.

CPC Classifications

SectionClassGroup
A A61 A61M1/287
A A61 A61M1/28
A A61 A61M1/282
G G06 G06Q10/087
G G16 G16H20/10
G G16 G16H20/40
A A61 A61M2205/12
A A61 A61M2205/3553
A A61 A61M2205/3584
A A61 A61M2205/52
G G16 G16H15/00
G G16 G16H40/20
G G16 G16H50/50

Field of Art

Medical Device Technology, Specifically Automated Peritoneal Dialysis (APD) Systems with Advanced Data Processing and Patient Management

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device specialist with expertise in dialysis systems, data analytics, machine learning applications in medical technology, and patient-specific treatment optimization

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and predictive analytics into automated peritoneal dialysis systems represents a natural technological progression given the increasing sophistication of medical device technologies. The source patent's foundational APD system provides a clear framework for implementing advanced data-driven optimization techniques. The disclosed variations represent predictable extensions of existing medical device technological capabilities, utilizing well-established machine learning and data processing techniques to enhance treatment personalization.

Obvious Combinations & Variations

Source Patent Element
Automated peritoneal dialysis apparatus with solution management and unique identifier tracking
PTD Variation
Adding machine learning algorithms to optimize ultrafiltration rates based on historical treatment data
Obviousness Reasoning
Predictable application of data analytics to existing medical device technology, representing a known technique for improving treatment precision
Source Patent Element
Fluid management system with multiple solution containers
PTD Variation
Implementing real-time sensor feedback for dynamic treatment adjustment
Obviousness Reasoning
Logical extension of existing monitoring capabilities using standard sensor integration techniques
Source Patent Element
Automated dialysis system with basic patient data management
PTD Variation
Cloud-based remote monitoring with AI-powered trend analysis and personalized recommendations
Obviousness Reasoning
Predictable implementation of internet-connected medical device technologies with established machine learning techniques
Source Patent Element
Dialysis apparatus with solution identification and tracking
PTD Variation
User interface for patient lifestyle preference input and personalized treatment generation
Obviousness Reasoning
Obvious design choice to enhance patient engagement using standard user interface design principles
Source Patent Element
Automated peritoneal dialysis system with basic treatment parameters
PTD Variation
Genetic algorithm for generating optimized treatment regimens based on patient targets
Obviousness Reasoning
Known optimization technique applied to medical treatment parameter selection, representing a finite set of predictable solution approaches
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857713 and the disclosed technical variations, a person of ordinary skill in the art would find the proposed enhancements to automated peritoneal dialysis systems obvious and lacking inventive step. The integration of machine learning, predictive analytics, and personalized treatment optimization represents a straightforward technological progression that would be apparent to a skilled practitioner in medical device technology, thereby rendering potential claims obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,713
TitleAutomated peritoneal dialysis system
Assignee(s)BAXTER HEALTHCARE SA, BAXTER INTERNATIONAL INC.