FIM Assessment Prediction With Therapist-Correctable Scoring
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Solution Overview
Problem
Therapists in rehabilitation facilities often lack time for frequent assessments of the Functional Independence Measure (FIM), leading to outdated assessments and inappropriate rehabilitation plans due to the time-consuming nature of the 18-item evaluation, which may not reflect the patient's current condition accurately.
Innovation Solution
An information processing method and apparatus that calculates predicted assessment values for FIM items using machine learning, allowing therapists to input actual values and correct provisional assessments, thereby maintaining up-to-date patient evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If therapists perform frequent FIM assessments manually, then assessment accuracy and timeliness improve, but therapist workload and time consumption increase significantly
Solution Approach 1:
The system enables self-service assessment by automatically calculating FIM assessment values using machine learning models that process patient information from various sources. The assessment is performed automatically without requiring therapist intervention for the actual evaluation, though therapists can review and correct results. This resolves the contradiction by making the assessment system serve itself rather than relying on therapist time.
Solution Approach 2:
The patent replaces the mechanical manual assessment process with an automated information processing system using machine learning algorithms. Instead of therapists manually evaluating and scoring FIM items, the system automatically calculates assessment values by processing patient data, thereby substituting the mechanical human assessment process with an automated computational system that maintains accuracy while eliminating time consumption.
2Reliability
If therapists perform complete 18-item FIM assessment, then comprehensive patient evaluation is achieved, but assessment time and complexity increase
Solution Approach 1:
The system segments the 18 FIM assessment items into different categories (motor items and cognition items) and processes them through separate calculation pathways. Each item can be calculated independently based on relevant patient information, allowing the comprehensive assessment to be broken down into manageable segments that are processed automatically without increasing overall system complexity.
Solution Approach 2:
The patent creates a universal assessment system that handles all 18 FIM items through a single integrated machine learning model. The system can process different types of patient information (vital signs, lab results, imaging data) and generate comprehensive FIM assessments across all items using the same multi-functional platform, thereby achieving complete evaluation without proportionally increasing complexity.
3Loss of information
If assessment frequency is increased to keep up with patient condition changes, then assessment currency improves, but therapist availability for other tasks decreases
Solution Approach 1:
The system implements continuous assessment by automatically and continuously calculating FIM assessment values based on ongoing patient data collection. Rather than performing discrete periodic assessments that require therapist time, the system maintains continuous evaluation of patient condition, ensuring assessment currency is improved while therapists remain available for other productive tasks.
Solution Approach 2:
The system provides feedback to therapists by displaying calculated FIM assessment values and allowing correction when necessary. This feedback mechanism ensures that assessments remain accurate and current while minimizing the time therapists need to spend on the process, as the system handles the bulk of the evaluation work and only requires therapist input when corrections are needed.
Data Source
AI summary
An information processing apparatus according to the present invention includes: a calculating unit configured to calculate, based on subject information including a first assessment value representing an assessment of a subject at a predetermined moment for each of a plurality of items set in FIM (Functional Independence Measure), a prediction value representing an assessment of the subject predicted after the predetermined moment; and a control unit configured to set the prediction value as a provisional assessment value representing a provisional assessment of the subject for a predetermined item of the FIM, and control to output so as to display in a correctable manner on an information processing device operated by an assessor.