Diagnostic Report Generation Using Segmented Templates
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Solution Overview
Problem
Current methods for explaining diagnostic results to patients often use technical jargon, making it difficult for those with limited medical knowledge to understand, and do not provide additional information such as general knowledge about diseases and symptoms, leading to insufficient patient comprehension.
Innovation Solution
A diagnostic result explanation report generating system that stores patient information, diagnostic results, and comment information, using explanation templates with insertion regions to create reports that include necessary diagnostic and comment information, allowing for customizable detail levels and inclusion of images and anatomical charts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If explanatory information is generated by changing only the expressions in medical facility reports, then the report structure is maintained, but additional information such as general disease knowledge and symptom differences cannot be provided
Solution Approach 1:
The system segments information into two distinct databases: one for original diagnostic report information and another for supplementary comment information (including general disease knowledge, symptom descriptions, and healthy vs. diseased state comparisons). This segmentation allows independent management and retrieval of different information types without complicating the overall system structure.
Solution Approach 2:
A template-based intermediary system is introduced that acts as a mediator between the two databases and the patient explanation output. The templates define structured formats with placeholders that are filled by retrieving appropriate information from both databases, enabling systematic integration of diverse information sources without direct complex interconnections.
2Reliability
If technical jargon is used in diagnostic explanations, then medical accuracy is maintained, but patient understanding deteriorates
Solution Approach 1:
The system applies local quality by providing different linguistic qualities in different parts of the explanation. Technical terms and accurate medical terminology are used where precision is critical (e.g., diagnostic conclusions), while layman-friendly descriptions are used in explanatory sections (e.g., symptom descriptions, disease background). This allows simultaneous maintenance of medical accuracy and patient comprehensibility within the same document.
Solution Approach 2:
Comment information is prepared in advance with dual-language formulations (technical and layman terms) stored in the database. This preliminary preparation allows the system to automatically select appropriate language versions during report generation without requiring real-time translation or explanation, ensuring both accuracy and understandability are pre-validated.
3Ease of operation
If physicians spend more time on diagnostic result explanations, then patient understanding improves, but available explanation time decreases
Solution Approach 1:
The system enables self-service by automatically generating patient-friendly explanation reports without requiring physician intervention in the explanation creation process. The system autonomously retrieves diagnostic information, selects appropriate comment information, fills templates, and produces finalized explanation reports, freeing physicians from this time-consuming task while ensuring consistent, high-quality patient education materials.
Solution Approach 2:
Explanation templates and comment information are prepared in advance during system setup, allowing rapid generation of patient explanations during clinical workflows. This preliminary preparation eliminates the need for physicians to create explanations from scratch during patient consultations, significantly reducing the time required while maintaining comprehensive and accurate content.
Data Source
AI summary
A diagnostic result explanation report generating apparatus is equipped with: a diagnostic information storing section, a comment information storing section, a template storing section for storing explanation templates having insertion regions, into which at least portions of the diagnostic information and the comment information are insertable, prepared for each of the various diagnostic results; an input section, for inputting patient specifying information; a diagnostic information obtaining section, for obtaining diagnostic information for a patient, based on the input patient specifying information; a template obtaining section, for obtaining an explanation template which is prepared for a diagnostic result, based on a diagnostic result included in the obtained diagnostic information; a comment information obtaining section, for obtaining comment information from the comment information storing section; and a diagnostic result explanation generating section, for inserting necessary diagnostic information and comment information into the obtained explanation template, to generate a diagnostic result explanation report.