AI-Driven Medical Data Routing for Expert Qualification Matching

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Solution Overview

Problem

Existing medical data routing systems often fail to efficiently route data to qualified experts, leading to inefficiencies, delayed diagnoses, and increased misdiagnosis risks, particularly for rare conditions.

Innovation Solution

A computer-implemented system that uses AI and rule-based configurations to automatically route medical data to appropriate experts based on predefined conditions and metadata, utilizing machine learning to determine the optimal recipient for review.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If glass slides are physically moved to a qualified expert, then the expert can review the slides, but significant delays occur and non-preferred experts may be selected

Engineering Contradiction:

Improveexpert qualification matchingVSAvoiddiagnosis delay

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent creates digital copies (whole slide images) of physical glass slides, enabling these digital representations to be transmitted electronically to experts anywhere in the world instantly, eliminating the need for physical slide transportation while preserving diagnostic quality

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical system of physical slide transportation with an electronic digital transmission system, where whole slide images are converted to digital format and transmitted via computer networks, eliminating physical movement delays

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If medical data is routed to a professional lacking sufficient expertise, then routing efficiency may improve, but misdiagnosis risk increases

Engineering Contradiction:

Improverouting efficiencyVSAvoiddiagnosis accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent performs preliminary analysis of medical data characteristics (such as image features, metadata analysis) before routing, automatically identifying the specific expertise required and pre-matching with qualified experts, ensuring both efficiency and accuracy

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback mechanisms where routing decisions are continuously refined based on outcome data, expert availability, and diagnostic accuracy metrics, learning from past routing successes and failures to improve future routing precision

Inventive Principle:

Principle #23Feedback

3Ease of operation

If digital whole slide images are used instead of physical slides, then digital routing to experts becomes possible, but system complexity increases

Engineering Contradiction:

Improvedata routing capabilityVSAvoiddigital infrastructure requirement

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent creates a universal digital platform that handles multiple functions (scanning, storage, transmission, display, analysis) within a single integrated system, allowing the same infrastructure to serve various diagnostic needs and reducing overall system complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent segments the complex digital pathology system into modular components (scanning module, storage module, transmission module, display module), allowing independent optimization and maintenance of each component while reducing overall system complexity

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12380989B2Systems and methods to process electronic images to provide automated routing of data

Publication Date: 2025.08.05 PAIGE AI INC

AI summary

Systems and methods are disclosed for providing automated routing of medical data, comprising determining at least one rule corresponding to at least one condition and at least one receiver, receiving medical data and associated medical metadata, determining whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule, and upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.