Information Processing Apparatus for Nursing Record Standardization
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Solution Overview
Problem
In home medical care and nursing settings, staff often struggle to accurately and efficiently record patient information due to the use of fixed input forms and natural language text input, leading to omissions and misunderstandings, especially when staff lacks knowledge or experience, and there is no guarantee that records are made in a timely manner.
Innovation Solution
An information processing device equipped with a keyword sequence generator, category information sequence generator, pattern extractor, and determiner, which performs morphological analysis on natural language text, standardizes keywords, generates category information sequences, selects patterns, and compares them to ensure completeness and accuracy of patient records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed input forms are used for recording nursing care, then completeness of required items is improved, but input time and operational complexity increase
Solution Approach 1:
The system performs preliminary action by automatically generating candidate records from speech recognition results before the staff needs to input data. The processor creates initial nursing care records based on spoken input, pre-filling forms so that staff only need to review and confirm rather than manually enter each field, thus maintaining completeness while reducing input time
Solution Approach 2:
The system enables self-service by allowing the speech recognition system to automatically populate record fields without manual intervention. The processor autonomously extracts information from speech recognition results and fills corresponding form fields, reducing the need for staff to manually complete each input field while ensuring all required items are captured
2Productivity
If natural language text input is used for recording nursing care, then input speed is improved, but accuracy and standardization deteriorate
Solution Approach 1:
The system implements feedback by presenting generated candidate records to staff for review and confirmation. The processor outputs candidate records based on speech recognition, and staff can verify accuracy by reviewing the generated content, allowing correction of any inaccuracies while maintaining the speed benefits of natural language input
Solution Approach 2:
The system uses an intermediary approach by introducing a processing layer between speech recognition and final record creation. The processor acts as a mediator that translates speech recognition results into structured candidate records, ensuring accurate mapping of natural language to standardized medical terminology while preserving input speed
3Duration of action of moving object
If staff records nursing care later from memory, then time for caregiving is improved, but completeness and accuracy of records deteriorate
Solution Approach 1:
The system enables staff to perform preliminary recording during or immediately after caregiving by accepting speech input. The processor generates candidate records based on spoken input, allowing staff to capture information fresh in memory rather than relying on later recall, thus preventing information loss while maintaining caregiving time
Data Source
AI summary
A problem to be solved is to assist input of information by a user. An information processing device of one embodiment includes a keyword sequence generator generating a keyword sequence by performing morphological analysis on text data in natural language; a category information sequence generator acquiring category information corresponding to each keyword of the keyword sequence based on a database in which keywords are associated with category information and generating a category information sequence; the pattern extractor selecting a category information sequence pattern from category information sequence patterns according to correlation between the category information sequence and each category information sequence pattern; and a determiner comparing the selected category information sequence pattern with the category information sequence and generating presentation information according to a difference between the selected category information sequence pattern and the category information sequence.