Case Database Management System with Quality Evaluation and Incentive Mechanism
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Solution Overview
Problem
Existing case database management systems lack methods to evaluate the usefulness of case images, fail to motivate providers to submit high-quality images, and do not effectively manage a mix of high and low-quality images, with insufficient text-based diagnostic information for users.
Innovation Solution
A case database management system that allows users to evaluate case information, assigns evaluation points based on user feedback, and uses these evaluations to maintain high-quality data by selectively deleting or modifying low-quality content, while also providing incentives for high-quality contributions through usage fee adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If case images are registered from multiple medical facilities into a shared database, then the quantity of case information increases, but the quality of case information deteriorates due to mixing high quality and low quality images
Solution Approach 1:
The system implements an evaluation mechanism where users provide feedback on case information quality through evaluation input screens. The evaluation information collection device gathers this feedback, and the case information evaluation device processes it to assign quality evaluations. This feedback loop enables the system to identify and manage low-quality images while maintaining the growing database quantity.
2Ease of operation
If the system transfers money automatically based on usage count, then the ease of operation improves, but the motivation for providers to submit high quality case images deteriorates
Solution Approach 1:
The system changes the payment parameter from a flat rate based solely on usage count to a variable rate that incorporates quality evaluation scores. The accounting device calculates payment amounts by combining usage frequency with evaluation results, creating a differentiated payment structure that incentivizes high-quality submissions while maintaining automated operation.
3Adaptability or versatility
If the database contains wide range of mixes from high quality to low quality case images, then the adaptability increases, but the reliability of diagnostic support deteriorates
Solution Approach 1:
The system segments case information into different quality levels based on evaluation results. The management device categorizes images as high quality or low quality, and can selectively provide only high-quality images for diagnostic support while maintaining the overall diverse database for reference purposes. This segmentation ensures reliability in critical diagnostic functions.
4Device complexity
If the system focuses information provision on image information only, then the device complexity decreases, but the usefulness of diagnostic information deteriorates
Solution Approach 1:
The system provides multiple types of information through a unified platform. The case information retrieval device can deliver both image information and text-based diagnostic information (such as radiogram interpretation reports) simultaneously. This multi-functional approach maintains system simplicity while comprehensively addressing diagnostic needs.
Data Source
AI summary
A case database management system capable of maintaining high quality case information registered in a case DB. A user of the case database management system can not only refer to case information registered in the case DB by user terminals, but also evaluate the case information. The case DB server of the system collects evaluation information evaluated by the user for each case information item and assigns each case information item with an evaluation containing an evaluation point indicating usefulness of the case information. This enables the case database management system to register more highly evaluated (high quality) case information in the case DB and to provide the user with useful case information.