Speech Recognition Chart Management for Dental Diagnosis Accuracy
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Solution Overview
Problem
In dental treatment settings, manual documentation of diagnosis information by assistants can lead to errors and omissions, and recruiting trained personnel is challenging, especially in clinics with limited resources, affecting the doctor's ability to focus on treatment and maintaining accurate records.
Innovation Solution
A chart management method using speech recognition that recognizes a user's speech, converts it into text data, extracts commands, and automatically inputs status values into a chart, allowing for real-time documentation without manual intervention, using a device with a speech input unit, speech recognition unit, controller, display unit, and storage unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual documentation by assistants is used, then the doctor can focus on treatment, but errors and omissions occur in recording diagnosis information
Solution Approach 1:
The patent replaces the mechanical manual writing process with an automated speech recognition system. The speech-to-text conversion automatically captures diagnosis information spoken by the doctor, eliminating manual transcription and reducing human error in recording while maintaining ease of use through voice-based input.
2Reliability
If multiple assistants are recruited to ensure accurate recording, then documentation accuracy improves, but device complexity and operational difficulty increase
Solution Approach 1:
The system enables self-service documentation where the doctor's own speech is automatically converted to text without requiring external assistants. The speech recognition system processes the doctor's spoken words directly, making the documentation process self-sufficient and eliminating the need for additional trained personnel.
3Loss of information
If multiple assistants support the doctor, then comprehensive documentation is achieved, but it becomes difficult to secure the doctor's field of view and prevent overlapping movement
Solution Approach 1:
The patent extracts the documentation function from the physical assistant role and transfers it to an automated speech recognition system. This removes the need for assistants to be physically positioned around the doctor, eliminating spatial conflicts and movement restrictions while preserving complete documentation of diagnosis information.
4Productivity
If speech recognition is implemented, then manual documentation is eliminated and accuracy improves, but system complexity increases
Solution Approach 1:
The speech recognition system is integrated into the existing dental practice management ecosystem, serving multiple functions including diagnosis recording, chart updating, and information management. This multi-functionality justifies the system complexity by providing comprehensive productivity improvements across various documentation tasks.
Data Source
AI summary
A method for managing a chart may include recognizing speech of a user and generating same as speech data, converting the speech data to text data, extracting a system command and/or a data command from the text data, on the basis of the system command, performing starting a customer chart, ending the customer chart, and/or moving to an item included in the customer chart, extracting a diagnosis name command and a status command by parsing the data command, generating a protocol by mapping the diagnosis name command and the status command, on the basis of the protocol, changing the status of at least one of the plurality of items in the customer chart, and providing the user, in real time, with the status of an item and the changed items in the customer chart.