Medical Document Disease Detection System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a risk of overlooking diseases described in medical documents such as interpretation reports, which can lead to delays in treatment and worsening of symptoms.
Innovation Solution
An information processing apparatus and method that acquires and compares first and second medical documents, displaying information about target diseases in a manner that indicates their presence in both documents, thereby preventing overlooking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If doctors review medical documents manually, then treatment decisions can be made, but diseases may be overlooked leading to delays in treatment
Solution Approach 1:
The system performs preliminary extraction and comparison of disease information from medical documents before the doctor makes treatment decisions. By pre-identifying diseases and their descriptions in both interpretation reports and medical records, the system enables timely detection without requiring manual review of entire documents, thus preventing treatment delays while maintaining reliability
Solution Approach 2:
The information processing apparatus acts as an intermediary between medical documents and the doctor's decision-making process. It automatically compares disease information from interpretation reports with medical records, extracting key disease descriptions and presenting them for review, thereby ensuring reliable disease detection while reducing time loss through automated preliminary processing
2Loss of information
If disease information is extracted from multiple medical documents, then completeness of disease information improves, but complexity of information processing increases
Solution Approach 1:
The system segments the information processing task into distinct modules: extraction of disease information from interpretation reports, extraction of disease information from medical records, comparison of the two datasets, and generation of disease lists. This segmentation reduces overall processing complexity by handling each step independently and systematically, while ensuring complete disease information is captured from multiple documents
Solution Approach 2:
The system extracts only the relevant disease information from multiple medical documents, separating it from unnecessary contextual data. By focusing extraction on disease-specific content and presenting it in a consolidated format, the system achieves information completeness while minimizing processing complexity through targeted extraction rather than comprehensive analysis
Data Source
AI summary
An information processing apparatus includes at least one processor. The processor is configured to acquire a first medical document in which information on a disease recognized for a patient is described, and acquire a second medical document in which information on a treatment for the disease of the patient or information on course information on the disease of the patient is described. The processor is configured to display, for each target disease including the disease described in the first medical document and the disease described in the second medical document, first information indicating that description about the target disease is present in the first medical document and second information indicating that description about the target disease is present in the second medical document in an identifiable manner.