Voice Analysis for Medical Worker Mental State Detection
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Solution Overview
Problem
Medical workers face challenges in efficiently acquiring and analyzing information on their mental states and stress levels due to busy schedules and the diffusion of personal patient information, leading to a lack of understanding of deep psychology and latent consciousness, and noise in the field.
Innovation Solution
A medical information processing apparatus that performs voice recognition and mental state analysis, using a system with a processing circuitry and memory to infer feelings, fatigue, and stress levels from voice data, including environmental and clinical information, and stores analysis results, improving accuracy through learning and database generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If voice input is used to improve work efficiency, then input efficiency is improved, but accuracy of mental state acquisition deteriorates due to noise and personal information diffusion
Solution Approach 1:
The patent introduces an AI-based voice analysis system as an intermediary between the medical worker's voice input and the mental state assessment. This intermediary processes the voice data through learned models to extract accurate mental state information while filtering out noise and protecting personal information, thus resolving the contradiction between maintaining work efficiency through voice input and ensuring accurate mental state acquisition.
2Measurement precision
If traditional questionnaire methods are used to acquire mental state information, then measurement precision is improved, but productivity deteriorates due to time consumption
Solution Approach 1:
The patent replaces the mechanical questionnaire-based assessment system with an AI-driven voice analysis system. The voice-based approach leverages acoustic features and language patterns to infer mental states, eliminating the need for time-consuming questionnaires while maintaining or improving measurement precision through advanced machine learning models that can detect subtle psychological indicators.
3Ease of operation
If voice analysis is performed in noisy medical environments, then ease of operation is improved, but measurement precision deteriorates due to field noise
Solution Approach 1:
The patent creates a virtual acoustic environment through AI processing that replicates ideal listening conditions. The system uses voice recognition technology to capture and analyze speech patterns while filtering out environmental noise, effectively copying the essential features of clear voice input even in noisy medical settings. This allows convenient voice-based operation without sacrificing measurement precision.
Data Source
AI summary
A medical information processing apparatus is a medical information processing apparatus that stores medical information of a patient and includes a processing circuitry and a memory. The processing circuitry performs voice recognition processing on a voice of a user, inputs the medical information based on a result of the voice recognition processing, acquires a mental state of the user by analyzing the voice of the user, and stores an analysis result of a mental state analysis section in the memory.