Medical Interview Consistency Verification for AI Diagnosis
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Solution Overview
Problem
The instability of patient responses to medical interview questions poses challenges for AI-driven medical treatment, as these responses can change significantly due to patient sensibility and feelings, affecting the accuracy and reliability of medical diagnosis and treatment.
Innovation Solution
A medical information processing system that acquires and compares patient answers to medical interview questions at different timings to determine consistency, using natural language processing and machine learning models to assess the validity of these responses, thereby reducing the influence of changes in patient answers on medical treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If patient answers to medical interview questions are used directly for AI-driven medical treatment, then the medical treatment can be automated, but the reliability of medical treatment deteriorates due to instability and changes in patient responses
Solution Approach 1:
The system performs preliminary actions by acquiring multiple answers at different timings before making a medical diagnosis. It compares these answers in advance to determine consistency, and only uses consistent answers for disease estimation. This preliminary verification process ensures that unstable or changing patient responses are filtered out before affecting the automated medical treatment decision.
2Reliability
If multiple patient answers at different timings are compared to determine consistency, then the reliability of medical treatment is improved, but the complexity of the medical information processing system increases
Solution Approach 1:
The system segments the medical information processing into distinct functional modules: an answer acquirer that collects multiple answers at different timings, an answer comparator that analyzes consistency between answers, and a disease estimator that makes diagnoses based on consistent answers. This segmentation allows each module to perform its specific function independently, making the overall complex system more manageable and maintainable while ensuring reliable medical treatment through systematic answer verification.
Data Source
AI summary
According to an embodiment, a medical information processing system includes processing circuitry. The processing circuitry is configured to acquire a first answer of a target person to a medical interview question made at a first timing and a second answer of the target person to a medical interview question made at a second timing different from the first timing, and to determine whether or not the first answer and the second answer are consistent.