Keyword Extraction from Voice Messages for Patient State Visualization
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Solution Overview
Problem
In home medical treatment and care, it is challenging for multiple healthcare professionals to efficiently grasp the changing mental and physical states of patients due to the vast amount of data accumulated in information sharing systems, such as voice tweet systems, which require extensive searching.
Innovation Solution
An information processing apparatus that includes a data processor to detect keywords related to patient states from voice messages, creating presentation information that arranges these keywords correspondingly, allowing for easier visualization and understanding of patient states across different categories and time frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If voice messages are accumulated in an information sharing system, then information sharing among staff is improved, but data search efficiency deteriorates due to enormous accumulated data
Solution Approach 1:
The patent extracts keywords from voice messages and separates them from the full text content. These extracted keywords are stored as metadata tags, allowing staff to search and filter information efficiently without processing the entire voice message database, thus resolving the contradiction between information sharing and search efficiency
Solution Approach 2:
The patent introduces keywords as an intermediary between the voice message content and the search function. Instead of directly searching through enormous voice message data, the system uses keywords as a mediating layer that represents the essential information, enabling fast retrieval while maintaining complete information availability
2Loss of information
If all observation data is stored in detail, then information completeness is improved, but ease of grasping patient state deteriorates due to data volume
Solution Approach 1:
The patent segments the continuous voice message data into discrete keyword units that correspond to specific patient states. By dividing the information into categorized keywords (e.g., cognitive state, physical condition), the system maintains complete information while making it easily accessible and assessable through keyword filtering and grouping
Solution Approach 2:
The patent applies local quality by organizing keywords according to different patient state categories (cognitive, physical, etc.). Each category receives specialized organization and presentation, allowing staff to quickly access relevant information for specific assessment needs without being overwhelmed by the entire dataset
Data Source
AI summary
An information processing apparatus includes: a first storage to store correspondence data that includes a plurality of mental and physical states and keywords related to each of the states; a second storage to store messages representing contents tweeted for an observed target by a plurality of observers; and a data processor to detect keywords related to each of the states from the messages based on the correspondence data and create presentation information which includes information data arranged correspondingly to each of the states wherein the information data is arranged for each of the messages including the keywords related to the corresponding state and includes the keyword detected from the each of the messages.