AI-Guided Rehabilitation Plan Adjustment From Objective Sensor Data

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Solution Overview

Problem

Conventional rehabilitation methods lack objective, comparable measures for patient progress due to varied and subjective treatment plans, leading to noncompliance and potential opioid addiction, especially in telemedicine settings where physical examinations are limited.

Innovation Solution

A computer-implemented system using AI and machine learning to analyze patient data, generate thresholds, and modify treatment plans based on pain levels and other indicators to optimize patient outcomes and reduce opioid dependency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional rehabilitation treatment plans are generated based on provider judgment, then treatment customization is achieved, but objective measurement of patient progress becomes difficult

Engineering Contradiction:

Improvetreatment customizationVSAvoidpatient progress measurement

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system continuously collects objective data from treatment devices and patient reports, processes this data through AI/ML models, and provides feedback by automatically modifying treatment plans. This closed-loop feedback mechanism enables both customized treatment and objective progress measurement by comparing actual performance data against target outcomes.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system transforms subjective provider judgments into objective quantitative parameters through standardized data collection protocols. Treatment plans are defined with specific measurable parameters (range of motion, strength, frequency) that can be objectively tracked, while the AI/ML algorithms adapt these parameters dynamically based on patient response.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If treatment plans are highly varied based on provider judgment, then individual patient needs are addressed, but comparability and standardization are lost

Engineering Contradiction:

Improveindividual patient needsVSAvoidtreatment plan standardization

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system segments the treatment plan into standardized modular components (exercise types, frequency, intensity, duration) that can be consistently defined and measured. Each component has standardized parameters that enable comparison across patients while the AI/ML system allows flexible combination and adaptation to individual needs.

Inventive Principle:

Principle #1Segmentation

3Ease of operation

If subjective assessments are used for patient progress, then flexibility in evaluation is maintained, but reliability and comparability across patients are reduced

Engineering Contradiction:

Improveevaluation flexibilityVSAvoidprogress assessment reliability

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system replaces subjective human assessment with automated objective measurement systems. Treatment devices collect quantitative data (motion capture, force measurements, range of motion) and patient reports provide standardized subjective inputs. The AI/ML system processes these objective data streams to generate reliable, comparable progress assessments without human bias.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Object-affected harmful factors

If patients take more pain medication during rehabilitation, then pain levels are managed, but opioid dependency increases

Engineering Contradiction:

Improvepain managementVSAvoidopoid dependency

Core Design Contradiction:

Object-affected harmful factorsVSObject-generated harmful factors

Solution Approach 1:

The system monitors pain levels and treatment progress in real-time, providing feedback to automatically adjust treatment intensity and duration. By objectively tracking progress metrics and comparing them against target outcomes, the system identifies when pain management is no longer needed, enabling timely reduction of opioid prescriptions while maintaining effective pain control during rehabilitation.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20260051382A1Systems and methods for analyzing objective information pertaining to the performance of a patient performing a treatment plan and for modifying the treatment plan using ai/ml

Publication Date: 2026.02.19 ROM TECH INC

AI summary

Systems and methods include receiving a plurality of sets of data corresponding to respective users of a plurality of users undergoing rehabilitation treatment. Each of the sets of data includes sensor data obtained while the respective users perform respective treatment plans. The plurality of sets of data is stored as objective information in a queryable data format. The method further includes receiving first sensor data associated with the performance of a first treatment plan. The first treatment plan corresponds to a standardized treatment plan assigned to the user, and the first sensor data correlates with the objective information. The method further includes predicting, based on the objective information and the first sensor data, a likelihood of the first user achieving a rehabilitation goal, generating, based on the objective information, the first sensor data, and the likelihood of the first user achieving the rehabilitation goal, a second treatment plan.