Dental Chart Management Server Using Noise-Cancelling Speech Recognition
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Solution Overview
Problem
Current dental chart creation methods in dental clinics are inefficient due to low accuracy of Speech-To-Text (STT) models, which can lead to inappropriate implant type selection and inventory management issues, potentially causing medical accidents and stock depletion.
Innovation Solution
An integrated management server using a noise-cancelling STT model that processes sounds from dental treatments to generate accurate scripts for periodontal, implant, and laboratory charts, while also inferring failure rates for implant types and recommending suitable implants, and managing inventory levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual chart creation by dental assistants is used, then accuracy of chart information is maintained, but productivity and efficiency are reduced
Solution Approach 1:
The patent replaces the mechanical manual input system with an automated speech-to-text recognition system. The STT model converts spoken dental terminology into structured chart data automatically, eliminating the need for manual typing while maintaining information accuracy through specialized training on dental vocabulary.
Solution Approach 2:
The system enables self-service chart creation where the dental assistant's speech is automatically transcribed and structured into chart format without requiring manual intervention. The STT model processes speech inputs and automatically populates chart fields, allowing the system to serve itself in the chart creation process.
2Productivity
If standard STT models are used for chart creation, then productivity is improved, but measurement precision and reliability deteriorate due to low accuracy
Solution Approach 1:
The patent applies local quality by training the STT model specifically on dental terminology and domain-specific vocabulary. Instead of using a general-purpose STT model, the system customizes the model's knowledge base to understand dental terms, procedures, and charting conventions, thereby improving recognition accuracy in the specific dental context.
Solution Approach 2:
The system performs preliminary training of the STT model with dental-specific speech data before actual chart creation. This pre-training phase prepares the model to accurately recognize and transcribe dental terminology, ensuring high measurement precision is achieved before the productivity benefits are realized in clinical practice.
3Reliability
If implant type is selected without failure rate analysis, then decision-making speed is improved, but reliability and safety deteriorate due to potential medical accidents
Solution Approach 1:
The system performs preliminary analysis of failure rates for different implant types based on the patient's specific periodontal conditions before the final implant selection is made. By pre-calculating and presenting failure rate data for various implant options, the system enables informed decision-making without significantly extending the implant planning timeline.
Solution Approach 2:
The system provides feedback on implant selection by presenting failure rate analysis and risk assessment information to the dental practitioner. This feedback loop allows the practitioner to adjust the implant selection based on quantitative risk data, improving the reliability and safety of the final decision while maintaining efficient workflow through automated analysis.
4Productivity
If inventory management is not automated, then device complexity is reduced, but loss of time and productivity deteriorate due to manual inventory tracking
Solution Approach 1:
The patent merges inventory management functions with the chart creation and implant planning processes. By integrating inventory tracking into the existing workflow system, the patent automates inventory updates based on implant selections and procedures, improving productivity without requiring completely separate complex inventory management systems.
Solution Approach 2:
The system performs self-service inventory management by automatically tracking implant product usage and updating stock levels based on procedures performed. The system monitors inventory depletion and can automatically generate reordering alerts, enabling the inventory system to manage itself without requiring manual intervention while maintaining operational efficiency.
Data Source
AI summary
An integrated management server for a dental chart includes a memory storing instructions, and a processor. The instructions cause the processor to obtain a first script for speech of sounds generated during measurement of a patient's periodontal status to reflect the first script in a periodontal chart, provide features extracted from the periodontal chart to a pre-trained failure rate inference model to infer a failure rate for each implant type, obtain a second script for speech of sounds generated during discussions regarding a patient's implant type determined based on the inferred failure rate to reflect at least a portion of the first and second scripts in an implant chart, and obtain a third script for speech of sounds generated during discussions regarding an implant product to be used for the determined patient's implant type to reflect at least a portion of the first to third scripts in a laboratory chart.