Information Processing Apparatus for Deriving Implicit Care Data
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Solution Overview
Problem
Existing care record analysis techniques focus on explicit information, making it difficult to address underlying issues in care receivers, such as loneliness and muscle weakness, which require implicit information about relationships, personality, and preferences, necessitating expert knowledge that is costly to obtain.
Innovation Solution
An information processing apparatus that classifies personal feature data into similar groups, presents relevant data, receives implicit input, and updates storage with user input to derive implicit information from explicit data, utilizing expert knowledge to understand care receivers' needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expert knowledge is obtained to derive implicit information from explicit care record information, then care quality and personalization are improved, but cost increases
Solution Approach 1:
The patent creates a knowledge base that copies and stores expert knowledge about implicit information derivation patterns. Instead of requiring continuous expert intervention, the system uses pre-acquired expert knowledge patterns to automatically derive implicit information from care records, thereby maintaining care quality while reducing ongoing costs.
Solution Approach 2:
The system enables self-service by allowing the knowledge base to automatically derive implicit information from explicit care record data without requiring continuous expert input. The automated derivation process uses stored knowledge patterns to independently analyze care records and generate implicit information, reducing dependency on expensive expert resources.
2Loss of information
If implicit information is derived from explicit care record information, then understanding of care receivers improves, but device complexity increases
Solution Approach 1:
The patent segments the complex task of implicit information derivation into manageable components by organizing expert knowledge into structured patterns and categories. The knowledge base divides derivation tasks into specific pattern types (e.g., relationship patterns, preference patterns), making the overall complex process more manageable and systematized.
Solution Approach 2:
The system performs preliminary action by pre-acquiring and storing expert knowledge patterns before actual care record analysis. This preliminary knowledge acquisition and organization enables the system to efficiently derive implicit information from care records without requiring complex real-time expert judgment, thereby reducing operational complexity.
3Ease of operation
If care is based only on explicit information, then ease of operation is maintained, but ability to address underlying issues deteriorates
Solution Approach 1:
The patent introduces an intermediary layer in the form of a knowledge base that mediates between explicit care record information and the derivation of implicit information. This intermediary knowledge base translates explicit data into implicit insights using stored expert patterns, enabling the system to address underlying issues while maintaining operational simplicity through automated translation rather than complex manual analysis.
Data Source
AI summary
The information processing apparatus is capable of efficiently acquiring expert knowledge by including: a classification unit that classifies a plurality of pieces of data including pieces of personal feature information, each of which is a piece of information indicating a feature of an individual, into groups on the basis of similarity of the pieces of information indicating the features; a presentation unit that presents one piece of data representing data included in the groups; an input unit that receives input of information that implicitly indicates a feature indicated by the personal feature information included in the data presented by the presentation unit; and an update unit that records the data whose input of the information is received by the input unit in a storage unit in association with the information received by the input unit.