Personalized Medical Device Controller Optimization System

Publication ID: 24-11857868_0002_PTD
Published: October 28, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Personalized Medical Device Controller Optimization System,” Published Technical Disclosure No. 24-11857868_0002_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857868_0002_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. 11,857,868.

Summary of the Inventive Concept

A system and method for optimizing medical device controller configurations based on user profiles and medical device settings, providing personalized and efficient control experiences for medical professionals.

Background and Problem Solved

The original patent, 'Automated controller configuration recommendation system', primarily focused on adjusting controller settings for software applications. However, the same technology can be applied to medical devices, addressing the limitation of one-size-fits-all controller configurations that can lead to decreased performance and increased user fatigue in medical settings. This new inventive concept solves the problem of inefficient and non-personalized medical device controller configurations by leveraging user profiles and medical device settings to provide customized controller configurations.

Detailed Description of the Inventive Concept

The Personalized Medical Device Controller Optimization System consists of a user interface, a database storing user profiles and medical device settings, and a recommendation engine. The system receives user input and identifies user characteristics, such as hand size, dexterity, and experience level. The database stores a library of medical device settings, including device-specific configurations and user preferences. The recommendation engine analyzes the user profile and medical device settings to suggest customized controller configurations. The system can also include an analytics module to track user performance and provide feedback, as well as a communication module for remote configuration optimization. The system's machine learning capabilities enable it to learn from user data and improve controller configuration recommendations over time.

Novelty and Inventive Step

The new claims introduce the novel application of the original patent's technology to the medical device industry, providing a personalized and efficient control experience for medical professionals. The inventive step lies in the adaptation of the controller configuration recommendation system to accommodate the unique requirements and constraints of medical devices, such as device-specific settings and user characteristics.

Alternative Embodiments and Variations

Alternative embodiments of the Personalized Medical Device Controller Optimization System could include integrating the system with existing medical device software, developing specialized controller configurations for specific medical procedures, or incorporating additional user feedback mechanisms, such as haptic feedback or voice commands.

Potential Commercial Applications and Market

The Personalized Medical Device Controller Optimization System has significant commercial potential in the medical device industry, particularly in fields such as surgery, radiology, and cardiology. The system can improve medical device usability, reduce user fatigue, and enhance overall medical procedure efficiency. The target market includes medical device manufacturers, hospitals, and medical research institutions.

CPC Classifications

SectionClassGroup
A A63 A63F13/23
A A63 A63F13/22
A A63 A63F13/42
G G06 G06N20/00

Field of Art

Human-computer interaction, control systems, and adaptive configuration technologies, with expertise in user interface design, performance tracking, and machine learning-based personalization across domains like gaming, medical devices, and interactive systems

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in computer science, electrical engineering, or human-computer interaction, possessing knowledge of adaptive systems, user profiling techniques, and cross-domain configuration optimization strategies

Obviousness Rationale

A PHOSITA would recognize that the core technological framework of automated configuration recommendation is directly transferable across different interaction domains, with medical device control representing a predictable and analogous application of the source patent's core technological principles. The systematic approach of identifying user characteristics, gathering performance data, and generating personalized configurations is fundamentally consistent between gaming and medical device control systems. The machine learning and comparative profiling techniques are generically applicable across technical domains with user-interactive systems.

Obvious Combinations & Variations

Source Patent Element
Identifying user characteristics and playstyle preferences through telemetry
PTD Variation
Identifying medical professional characteristics like hand size, dexterity, and experience level for device control
Obviousness Reasoning
Predictable extension of user profiling technique to a different professional interaction domain with quantifiable user parameters
Source Patent Element
Comparing user profiles to generate configuration recommendations
PTD Variation
Comparing medical professional performance profiles to optimize device controller configurations
Obviousness Reasoning
Known technique of statistical performance comparison applied to medical device interaction context
Source Patent Element
Machine learning-based configuration recommendation system
PTD Variation
Machine learning model trained on medical device user profiles and settings to generate customized configurations
Obviousness Reasoning
Straightforward application of machine learning principles to a new domain with structured input data
Source Patent Element
Supporting multiple controller types across different software platforms
PTD Variation
Developing specialized controller configurations for specific medical procedures
Obviousness Reasoning
Obvious design variation demonstrating adaptability of configuration recommendation framework
Source Patent Element
Gathering user performance data through telemetry
PTD Variation
Analytics module tracking medical professional performance and providing feedback
Obviousness Reasoning
Direct translation of performance tracking methodology to medical device interaction context
35 U.S.C. § 103 Summary: Based on US Patent 11857868's comprehensive disclosure of automated configuration recommendation systems, the present publication demonstrates that a person having ordinary skill in the art would find the application of user profiling, performance tracking, and machine learning techniques to medical device controller optimization to be an obvious variation, lacking inventive step and rendering subsequent claims obvious as a matter of law.

Original Patent Information

Patent NumberUS 11,857,868
TitleAutomated controller configuration recommendation system
Assignee(s)Electronic Arts Inc.