Assessment Vector Search for Reliable Nursing Record Support
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Solution Overview
Problem
Existing assessment systems for nursing records lack reliability in finding similar patients for assessment creation support due to insufficient consideration of multifaceted nursing information, leading to low search performance and unreliable reference content.
Innovation Solution
An assessment support system that includes an assessment prediction unit to vectorize patient information, a degree-of-similarity calculation unit to determine similarity based on assessment vectors, and a search unit to identify similar patients, enhancing the reliability of assessment creation support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a system uses only symptom vectors to find similar patients, then the search process is simple and fast, but the reliability of assessment creation support is low because multifaceted nursing information is not considered
Solution Approach 1:
The patent segments the search process into multiple independent modules: an assessment prediction unit that generates prediction assessment vectors, a degree-of-similarity calculation unit that computes similarity metrics, and a search unit that identifies similar patients. This segmentation allows each module to specialize in a specific function, improving overall reliability while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent transitions from traditional symptom-based similarity search to a new dimension by introducing assessment vectors and prediction assessment vectors. Instead of comparing only symptom vectors, the system now operates in an extended vector space that includes assessment dimensions, enabling more comprehensive comparison while systematically managing the increased complexity through structured computational approaches.
2Measurement precision
If assessment vectors are used to improve search accuracy, then the reliability of finding similar patients increases, but the computational complexity and processing time increase
Solution Approach 1:
The assessment prediction unit performs preliminary action by generating prediction assessment vectors before the similarity comparison process. This pre-computation of expected assessment vectors allows the degree-of-similarity calculation unit to efficiently compare predicted vectors with actual assessment vectors from similar patients, improving measurement precision while reducing overall processing time through advance preparation of reference data.
Data Source
AI summary
An assessment support system includes: an assessment prediction unit that predicts, based on patient information about a target patient who is a creation target for an assessment in a nursing record, an assessment vector obtained by vectorizing the assessment of the target patient, as a prediction assessment vector; a degree-of-similarity calculation unit that calculates a degree of similarity of the assessment vector to the prediction assessment vector, based on a relationship between the predicted prediction assessment vector and the assessment vector of a patient having the assessment recorded in the nursing record; and a search unit that searches for and outputs at least one similar patient who is similar to the target patient, based on the degree of similarity.