Medical Information Processing Apparatus for Linking Lesion Data
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Solution Overview
Problem
Radiologists and attending physicians face significant time and effort burdens in searching for and linking diagnosis and treatment information between interpretation reports and electronic medical records, as existing systems do not effectively associate findings in interpretation reports with corresponding diagnosis and treatment information in electronic medical records.
Innovation Solution
A medical information processing apparatus and method that acquires both interpretation reports and electronic medical records for the same patient, extracts relevant lesion information, and links description portions from the interpretation report with those from the electronic medical record using natural language processing to associate and store these linked descriptions for easy reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radiologists manually search for diagnosis and treatment information in electronic medical records to create interpretation reports, then the completeness and accuracy of the interpretation report can be improved, but the time and effort required increases significantly
Solution Approach 1:
The system automatically extracts lesion information from both the interpretation report and electronic medical record, and performs self-matching without requiring manual intervention from radiologists. The processor autonomously compares lesion information items and establishes associations, allowing the system to serve itself in the information matching process.
Solution Approach 2:
The manual mechanical process of radiologists searching and matching information is replaced by an automated information processing system. The processor uses algorithmic comparison of lesion information items (such as lesion type, location, size) to automatically establish associations between interpretation reports and electronic medical records, substituting human cognitive and manual work with computational processes.
2Reliability
If attending physicians manually search for findings in interpretation reports to determine treatment policies, then the accuracy of treatment policy determination can be improved, but the time and effort required increases significantly
Solution Approach 1:
The system automatically retrieves and associates relevant finding information from interpretation reports with treatment policy determination. When a physician accesses an electronic medical record, the system self-service style presents already-associated finding information without requiring the physician to manually search through interpretation reports.
Solution Approach 2:
The system acts as an intermediary between interpretation reports and treatment policy determination. It establishes and maintains associations between lesion information in interpretation reports and corresponding information in electronic medical records, serving as a bridge that automatically connects diagnostic findings with treatment decision-making processes.
3Ease of operation
If the system establishes detailed associations between lesion information in interpretation reports and electronic medical records, then the usability and efficiency of information retrieval can be improved, but the system complexity increases
Solution Approach 1:
The system segments lesion information into discrete, comparable items such as lesion type, location, size, and other specific attributes. By dividing the complex task of information matching into smaller segmented components, the system can efficiently compare and associate specific lesion information items without requiring complex overall processing.
Solution Approach 2:
The system transforms unstructured or semi-structured medical text into structured parameters that can be automatically compared and matched. By converting finding information into standardized parameter formats (lesion type, location, size), the system simplifies the association process while maintaining detailed and accurate linkages between interpretation reports and electronic medical records.
Data Source
AI summary
A medical information processing apparatus includes a processor and one or more memories that store a program to be executed by the processor. The processor acquires each of an interpretation report and an electronic medical record created for the same patient, extracts one or more first lesion information items from finding information described in the interpretation report, extracts a plurality of second lesion information items from diagnosis and treatment information described in the electronic medical record, associates the one or more first lesion information items with the second lesion information indicating the same lesion as the one or more first lesion information items among the plurality of second lesion information items, and link a first description portion related to the associated first lesion information and a second description portion related to the associated second lesion information.