Document Model Structure for Medical Findings Reports
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Solution Overview
Problem
Medical findings reports are complex to produce due to the need for radiologists to analyze multiple data types and structures, leading to difficulties in structuring reports effectively and efficiently, especially with the lack of a single standardized model for each case, which can result in incorrect assessments if the wrong model is chosen.
Innovation Solution
A computer-implemented method and system that provides a document model structure for producing medical findings reports by analyzing medical datasets and comparing them to reference datasets to identify suitable document models, allowing for the creation of case-specific, structured reports through the use of an analysis function and user input to guide the selection of appropriate template components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If structured findings reports with fixed templates are used, then quality and interoperability of medical reports are improved, but time and effort required for producing reports increases
Solution Approach 1:
The system automatically selects and provides the appropriate document model structure by analyzing the medical dataset and comparing it with reference datasets, enabling the system to serve itself in choosing the correct template without requiring manual selection by the assessor
Solution Approach 2:
The system performs preliminary analysis of the medical dataset and pre-selects the suitable document model structure before the assessor begins writing the report, so that the template selection work is completed in advance
2Adaptability or versatility
If multiple document models are provided for selection, then case-specific structure and recommended assessment steps are improved, but difficulty in selecting the correct model increases
Solution Approach 1:
The system automatically determines which document model structure is appropriate by analyzing the medical dataset characteristics and comparing them with reference datasets, eliminating the need for the assessor to manually search and select from multiple models
Solution Approach 2:
The manual process of selecting document models is replaced by an automated analysis function that uses computer algorithms to compare medical datasets and identify the most suitable template structure
3Productivity
If an incorrect document model is selected, then the assessment process becomes inefficient, but diagnostic accuracy may be compromised
Solution Approach 1:
The system provides feedback by analyzing the medical dataset and comparing it with reference datasets to determine the most appropriate document model structure, ensuring that the selected template matches the characteristics of the current case
Solution Approach 2:
The correct document model is selected in advance through automated analysis before the assessment begins, preventing the use of incorrect models that could lead to diagnostic errors or inefficiency
Data Source
AI summary
A method for locating or identifying components or elements based on which a medical findings report can be produced for a patient to be assessed includes: providing a plurality of comparison datasets, each comparison dataset having at least one reference medical findings report; providing an analysis function, which is configured to ascertain, for a medical dataset of the patient being assessed, at least one reference dataset from the plurality of comparison datasets; ascertaining at least one reference dataset from the plurality of comparison datasets by applying the analysis function to the medical dataset and the comparison datasets; identifying at least one document model structure for the patient to be assessed based on the at least one reference medical findings report associated with the at least one reference dataset; and providing the at least one document model structure for further processing.