Practitioner-Derived Table for Medical Abnormality Observation
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Solution Overview
Problem
Current medical technologies lack an efficient and reliable method for practitioners to observe and assess complex medical conditions in medical presentations, particularly in heterogeneous and artifact-rich images like MRI, which often require high expertise and are prone to errors due to insufficient automation and cumbersome correction processes.
Innovation Solution
A method and system that support practitioners by displaying medical abnormalities in a virtual presentation in an ergonomic, list-based manner, allowing for efficient identification, evaluation, and comparison of anatomical extensions and signal characteristics, with a practitioner-derived, editable table of findings that can be automatically translated into reports, balancing automation and user interaction for improved accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated assessment methods are used for medical presentations, then productivity is improved, but reliability deteriorates due to errors in heterogeneous and artifact-rich images
Solution Approach 1:
The patent introduces a practitioner-derived table as an intermediary between automated assessment and final diagnosis. The system automatically generates initial findings from medical presentations, but these findings must be validated and confirmed by a practitioner through the table interface before being used for diagnosis. This intermediary step allows automated processing to improve productivity while practitioner review maintains reliability by catching errors in heterogeneous and artifact-rich images.
2Measurement precision
If high expertise is required for observing medical presentations, then measurement precision is improved, but device complexity worsens due to the need for highly trained practitioners
Solution Approach 1:
The system provides self-service capabilities through the practitioner-derived table that guides practitioners through the assessment process. The table automatically presents relevant findings and allows practitioners to confirm or correct observations without requiring deep expertise in image analysis. The system handles the complex tasks of image processing and finding generation, while the practitioner simply validates results, reducing the complexity burden on both the system and the user.
3Reliability
If manual correction processes are implemented for automated assessments, then reliability is improved, but loss of time worsens due to cumbersome correction procedures
Solution Approach 1:
The system performs preliminary actions by automatically generating a comprehensive table of findings before practitioner review. All potential abnormalities are pre-identified and organized in the practitioner-derived table with relevant details already extracted. This preliminary processing reduces the time required for correction because practitioners only need to review and validate pre-processed information rather than manually analyzing entire medical presentations from scratch.
4Quantity of substance
If comprehensive automated analysis is performed on medical presentations, then quantity of information is improved, but difficulty of detecting and measuring worsens due to the volume of data to be processed
Solution Approach 1:
The patent segments the comprehensive analysis results into discrete, organized entries in the practitioner-derived table. Each finding is separated into individual rows with specific characteristics (location, type, measurements), making the large volume of information from heterogeneous medical presentations manageable. This segmentation transforms overwhelming data volumes into structured, easily reviewable units that practitioners can efficiently validate without being overwhelmed by the total information volume.
Data Source
AI summary
A method and a related system for supporting a practitioner in monitoring a disease-specific anatomical location, extension and/or signal characteristic of a medical abnormality, in particular lesion(s), of a body portion displayed in a virtual medical presentation such as an image of the body portion. The method includes a step of identifying separate abnormalities, in particular separate abnormalities of the same kind of abnormality, in a presentation, an automated step of determining, for each identified abnormality a position information indicating the position of the identified abnormality in the presentation, a step of generating a table that lists the identified abnormalities and, for each listed abnormality, a position information indicating the position of the abnormality in the body portion, and a step of providing the table to the practitioner by use of a user interface.