Medical Information Processing System Sound Input Classification
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Solution Overview
Problem
Existing medical record systems require cumbersome screen operations to distinguish and input various types of medical information, such as main complaints, findings, assessments, and planning, especially when using mobile terminals for sound input.
Innovation Solution
A medical information processing system that includes a sound analyzer, state detector, determination information storage, and association processor, allowing for the conversion of sound input into character information and identification of information types based on the mobile terminal's orientation or connection state, enabling simple operation for specifying the type of medical information to be input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sound input is used for medical information input, then input efficiency is improved, but it becomes difficult to distinguish and specify the type of information to be input
Solution Approach 1:
The system performs preliminary classification of sound input by analyzing temporal patterns, pause positions, and contextual cues to automatically identify information types (main complaint, findings, assessment, planning) before the user needs to specify them manually. This preliminary action resolves the contradiction by making type specification occur automatically during the natural flow of speech rather than requiring separate manual intervention.
Solution Approach 2:
The patent replaces manual mechanical operations (screen tapping, button pressing, menu navigation) with automated acoustic analysis and pattern recognition systems. The sound analyzer and information type identifier substitute for manual mechanical interaction, allowing information type specification through speech patterns alone, thus resolving the contradiction between input efficiency and ease of operation.
2Measurement precision
If manual screen operations are used to specify information types, then information type specification is accurate, but the operation process becomes complex and time-consuming
Solution Approach 1:
The system performs self-service by automatically identifying information types through analysis of the sound input itself, without requiring external manual intervention. The sound analyzer and information type identifier work autonomously to classify input, achieving both accuracy and simplicity by eliminating the need for complex manual screen operations while maintaining precise information type specification.
3Productivity
If multiple types of medical information are input simultaneously, then input speed is improved, but it becomes difficult to distinguish and organize different information types
Solution Approach 1:
The system applies segmentation by automatically dividing continuous sound input into distinct information type segments (main complaint, findings, assessment, planning) based on temporal patterns, pause positions, and contextual analysis. This segmentation maintains high input speed by processing everything as continuous speech while preventing information type confusion by systematically categorizing each segment, thus resolving the contradiction between input speed and information type distinction.
Solution Approach 2:
The system employs feedback mechanisms where the sound analyzer continuously monitors input patterns and adjusts classification decisions based on previously identified information types and contextual cues. This feedback loop ensures that even when multiple information types are input simultaneously or in rapid succession, the system maintains accurate distinction between them by constantly refining its classification based on accumulated contextual information.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and accurate input of medical information without requiring complex screen operations, allowing operators to specify information types through simple directional or connection-based inputs, facilitating the generation and updating of medical records.
Implementation Method 1
a sound analyzer, state detector, determination information storage, and association processor, allowing for the conversion of sound input into character information
Data Source
AI summary
A medical information processing system including an input part, a sound analyzer, a state detector, determination information storage, and an association processor. Upon receiving plural types of medical information via sound input respectively, the medical information processing system can distinguish the plural types of medical information by a simple operation. The input part receives the medical information via sound input. The sound analyzer analyzes the received sound and converts it into character strings. The state detector detects plural states of the input part, respectively. The determination information storage stores in advance determination information in which each of plural states is related to types of information making up a medical record. The association processor identifies the type corresponding to the detected state based on the determination information, and relates the information indicating the identified type with the character strings converted from the sound input.