Medical Image Data Report Tree Mapping

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Solution Overview

Problem

Current medical image data processing systems face challenges in efficiently and accurately interpreting and reviewing processed medical data from various clinical software applications, due to inconsistent data formats and complex, non-interactive report structures, leading to inefficiencies and potential human errors during the review process.

Innovation Solution

A system and method that maps processed medical data from different clinical software applications to a consistent report structure, allowing users to approve or reject data nodes within a hierarchical tree structure through a viewer application, generating a final report tree for storage in an electronic data management system, using either application-independent or application-specific mappings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If processed medical data from multiple clinical software applications is displayed in their original inconsistent formats, then each application's native data structure is preserved, but the complexity of reviewing and interpreting the data increases significantly

Engineering Contradiction:

Improvecompatibility with different clinical software applicationsVSAvoidcomplexity of report structure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary component that translates processed medical data from various clinical software applications into a standardized report structure. This intermediary layer maintains compatibility with different applications while presenting unified, consistent reports to users, eliminating the complexity of reviewing multiple inconsistent formats simultaneously

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system transforms the format parameter of processed medical data from application-specific variations to a standardized structure. By changing the organizational parameters of the data presentation while preserving the underlying medical information, the system achieves both versatility across applications and simplicity in review

Inventive Principle:

Principle #35Parameter changes

2Reliability

If processed medical data is manually reviewed without interactive capabilities, then the review process is straightforward, but errors are more likely and efficiency is reduced

Engineering Contradiction:

Improveaccuracy of report reviewVSAvoidease of data node validation

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system implements interactive feedback mechanisms that allow reviewers to validate, accept, or reject individual data nodes within the standardized report structure. This feedback loop enables real-time error detection and correction while maintaining ease of operation through intuitive interface elements that guide the review process

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The review interface is made dynamic and interactive, allowing users to navigate, validate, and modify report data nodes according to their expertise. This dynamic interaction improves both reliability through thorough validation and ease of operation through user-friendly controls

Inventive Principle:

Principle #15Dynamics

3Productivity

If processed medical data from different applications is standardized to a consistent format, then review efficiency is improved and errors are reduced, but the complexity of the standardization process increases

Engineering Contradiction:

Improveefficiency of report reviewVSAvoidcomplexity of standardization mapping

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent creates a universal standardized report structure that can accommodate processed medical data from multiple different clinical software applications. This multi-functional framework handles various data sources through a single consistent interface, improving review efficiency while the system manages the mapping complexity internally

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20240185990A1System and Method for Processing Medical Image Data

Publication Date: 2024.06.06 BLACKFORD ANALYSIS

AI summary

A system, method and computer program product for processing medical data from a clinical software application. Medical image data is processed by a clinical software application and the processed data is then mapped to a proposed report tree. A plurality of tagged nodes are generated in the proposed report tree by tagging data nodes within the processed medical data with a corresponding semantic tag. The proposed report tree is displayed through a viewer application and user input approving or rejecting the proposed report tree is received through the viewer application. A final report tree is generated based on the received user input and stored in an electronic data management system.