Dynamic Medical Report Generation System
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Solution Overview
Problem
Current medical report generation systems are labor-intensive and prone to errors due to the lack of flexibility and automation, as they rely on pre-fabricated phrases and rigid templates that do not adequately address unique or infrequently encountered medical scenarios, leading to inefficiencies and potential oversights in reporting.
Innovation Solution
A system that exploits inter-related patterns in medical phrases to provide suggestions for report content, using inclusion and exclusion rules to ensure consistency and reduce errors, by allowing users to define relationships between phrases and leveraging data from previous reports to offer context-specific suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If pre-fabricated phrases and templates are used for report generation, then report standardization is improved, but report flexibility and ability to address unique medical scenarios deteriorates
Solution Approach 1:
The system dynamically adapts the report structure based on the specific medical scenario. Rather than using fixed templates, the system allows the report format to flex and change according to the unique characteristics of each case, enabling both standardization for common scenarios and adaptability for unique situations through dynamic reconfiguration of report elements
Solution Approach 2:
The system creates a universal report generation framework that can handle both common and unique medical scenarios through a single flexible platform. This multi-functional system can adapt to different report types and complexities without requiring separate specialized templates for each scenario
2Stability of the object's composition
If rigid template-based systems are used, then report structure consistency is improved, but ability to report deviating cases deteriorates
Solution Approach 1:
The system transforms rigid templates into dynamic structures that can adapt their form based on the content being reported. The report structure remains consistent in its organizational framework but flexes to accommodate deviating cases by allowing custom elements and non-standard arrangements when needed
Solution Approach 2:
The system changes the parameters of report structure from fixed to variable, allowing the report format to be adjusted based on the specific case characteristics. This enables maintaining overall structural consistency while permitting deviations in specific sections to accommodate unique medical scenarios
3Productivity
If pre-defined phrase systems are used, then common reporting efficiency is improved, but handling of infrequently encountered scenarios deteriorates
Solution Approach 1:
The system enables users to create and add custom phrases and report elements as needed, rather than relying solely on pre-defined sets. This self-service capability allows the system to adapt to infrequently encountered scenarios by allowing users to generate new phrases and structures on-demand, which then become available for future use
Solution Approach 2:
The system prepares a foundation of common phrases and templates for efficient standard reporting, while simultaneously providing tools for users to pre-prepare custom phrases and structures for anticipated unique scenarios. This preliminary preparation covers both common and rare cases without limiting flexibility
4Adaptability or versatility
If manual selection and organization of pre-fabricated phrases is required, then report customization capability is improved, but time consumption and labor intensity worsens
Solution Approach 1:
The system provides intelligent feedback by analyzing the medical scenario and automatically suggesting appropriate phrases and structures. This feedback mechanism reduces the manual selection burden by presenting curated options that match the case characteristics, allowing users to maintain customization capability while significantly reducing time consumption through guided selection
5Adaptability or versatility
If extensive pre-written phrases are included to cover all scenarios, then system comprehensiveness is improved, but system complexity and difficulty to navigate worsens
Solution Approach 1:
The system segments the comprehensive phrase library into organized categories and hierarchies, making the extensive collection manageable and navigable. By dividing the large phrase set into logical groups based on medical scenarios and report sections, users can efficiently locate needed phrases without being overwhelmed by the overall system complexity
Data Source
AI summary
Disclosed is a networked database-driven system for facilitating the generation by multiple users of reports containing frequently occurring, repetitive, or predictable elements, through the system making predictions or suggestions regarding elements to insert into or changes to make to a currently edited report in progress by one user, through the use of user-defined report elements and user-defined relations between those elements, as well as the system's drawing upon collected data regarding prior reports and report elements entered into the system by previous report authors and inclusion or exclusion decisions made by previous report authors regarding those elements in relation to other report elements.