Adaptive Question Generation for Nursing Care Level Assessment
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Solution Overview
Problem
The existing nursing care level determination methods, such as those using behavior analysis apparatuses, are not publicly recognized and require significant human and temporal resources, making it difficult to efficiently assess and provide care services based on the determined level.
Innovation Solution
An information processing apparatus and method utilizing a generative model trained by machine learning to generate question sentences based on input queries, which are presented to a target person for answering, and the answers are recorded to support the determination of nursing care requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a behavior analysis apparatus is used to automatically determine nursing care level, then the productivity of assessment is improved, but the reliability of determination is worsened because the method is not publicly recognized
Solution Approach 1:
The patent introduces a generative model as an intermediary between the assessment survey and the nursing care level determination. This model automatically generates appropriate question sentences based on survey results, serving as a bridge that maintains both efficiency and reliability by using an officially recognized methodology while reducing manual workload
Solution Approach 2:
The system enables self-service assessment by automatically generating question sentences based on survey results without requiring manual intervention from assessment committee members. The generative model self-adjusts the questioning based on the target person's responses, maintaining assessment reliability while improving productivity
2Reliability
If manual assessment by assessment committee members is used, then the reliability of nursing care level determination is improved, but the loss of time and human cost increase
Solution Approach 1:
The system performs preliminary actions by automatically generating question sentences before the assessment committee members need to review them. The generative model prepares appropriate questions based on survey results in advance, reducing the time and effort required during the actual assessment process while maintaining determination reliability
Solution Approach 2:
The patent replaces the mechanical system of manual question formulation and assessment with an automated information processing system using a generative model. This substitution maintains the reliability of official assessment methods while dramatically reducing the time and human resources required
3Loss of time
If automated behavior analysis is used to determine nursing care level, then the loss of time is reduced, but the adaptability to official assessment systems is worsened
Solution Approach 1:
The generative model dynamically adapts its question generation based on the survey results and the specific needs of each target person. This dynamic approach allows the system to maintain compatibility with official assessment frameworks while efficiently processing individual cases, bridging the gap between automation and system adaptability
Data Source
AI summary
Determination of a degree of nursing care required is supported. An information processing apparatus includes: a query generating section which generates a query that instructs generation of a question sentence which asks about a matter serving as a basis for determining a degree of nursing care required; a generation control section which inputs, into a generative model that has been trained by machine learning to generate a question sentence in accordance with an input query, the query which is generated by the query generating section, and which causes the generative model to generate the question sentence; a presentation section which presents, to a target person, the question sentence that has been generated by the generative model; and a recording section that records an answer of the target person to the question sentence. This information processing apparatus even makes it possible to support decision making by a user.