AI Treatment Plan Generation for Occupational Rehabilitation

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Solution Overview

Problem

Determining an effective treatment plan for patients undergoing rehabilitation is challenging due to the multitude of personal, performance, and measurement attributes involved, and the difficulty in monitoring progress remotely during telemedicine sessions, making it hard to adapt treatment plans and control rehabilitation apparatuses accurately.

Innovation Solution

A computer-implemented system using artificial intelligence and machine learning to assign patients to cohorts based on attributes and occupational tasks, dynamically generating and adjusting treatment plans in real-time, and controlling rehabilitation apparatuses to ensure personalized and effective recovery plans.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If treatment plans are manually customized for each patient based on multiple attributes, then treatment effectiveness is improved, but the complexity and time required to create and monitor treatment plans increases significantly

Engineering Contradiction:

Improvetreatment effectivenessVSAvoidtreatment plan complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system enables treatment plans to be automatically generated and adjusted based on patient data input, eliminating the need for manual customization by healthcare providers. The AI engine processes patient attributes, occupational tasks, and progress data to autonomously create personalized treatment plans, reducing provider workload while maintaining treatment effectiveness.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical process of treatment plan creation and monitoring with an AI-based automated system. The machine learning model substitutes human providers' cognitive efforts in analyzing patient attributes and designing treatment protocols, transforming a complex manual task into an automated computational process.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If treatment plans are dynamically adjusted in real-time based on patient progress, then recovery speed is improved, but the difficulty of monitoring and controlling treatment remotely increases

Engineering Contradiction:

Improverecovery speedVSAvoidremote monitoring difficulty

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The system continuously collects patient progress data from wearable devices and treatment apparatus sensors, feeding this information back to the AI engine. The model uses this real-time feedback to dynamically adjust treatment parameters, enabling accelerated recovery while simplifying remote monitoring through automated data collection and analysis.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent introduces wearable devices and sensors as intermediaries between the patient and the remote healthcare provider. These devices automatically collect and transmit physiological and performance data, eliminating the need for direct provider-patient interaction for monitoring while enabling real-time treatment adjustments.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If comprehensive patient data is collected to personalize treatment plans, then treatment accuracy is improved, but the amount of data processing and analysis required increases

Engineering Contradiction:

Improvetreatment accuracyVSAvoiddata processing burden

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The AI engine transforms raw patient data into meaningful treatment parameters by identifying key attributes and relationships. The model processes comprehensive data including demographics, medical history, occupational tasks, and physiological measurements, converting this information into actionable treatment parameters that drive personalized rehabilitation protocols.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20220288462A1System and method for generating treatment plans to enhance patient recovery based on specific occupations

Publication Date: 2022.09.15 ROM TECH INC

AI summary

A method is disclosed for generating a treatment plan to modify an attribute of a user, wherein the attribute of the user is associated with an attribute of an occupational task. The method includes receiving data associated with the user, wherein the data comprises the modified attribute of the user and the attribute of the occupational task; accessing a database comprising data associated with exercises associated with the modified attribute of the user and the attribute of the occupational task; and generating, via an artificial intelligence engine, the treatment plan comprising an exercise of the exercises associated with the modified attribute of the first user and the attribute of the occupational task, wherein the artificial intelligence engine generates the treatment plan comprising the exercise based on the data associated with the user and the data associated with the exercises.