Medical Record Sheet Image Correction Detection
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Solution Overview
Problem
In the medical field, existing technologies face challenges in accurately detecting and managing corrections made to basic medical information printed on medical record sheets, particularly when these corrections are not reflected in the encoded information, leading to potential errors in data management and sharing.
Innovation Solution
An image processing apparatus that extracts and compares image data from medical record sheets to detect corrections by generating reference image data based on encoded information, allowing for the identification of differences and automatic detection of changes in basic medical information, thereby ensuring accurate data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If basic medical information is printed on medical record sheets and encoded for digitization, then information sharing and data management are improved, but errors occur when corrections are made to printed information that are not reflected in the encoded data
Solution Approach 1:
The system performs preliminary comparison between the printed basic medical information and the encoded information before finalizing the digitized data. By detecting discrepancies in advance through image recognition and code comparison, the system prevents erroneous data from being stored, thus maintaining data accuracy while capturing correction information.
Solution Approach 2:
The system establishes a feedback mechanism where the detected differences between printed and encoded information are fed back into the data management process. This feedback loop enables the system to identify and flag corrections that were not reflected in the encoded data, ensuring that the final digitized record reflects the most accurate and up-to-date medical information.
2Measurement precision
If manual detection of corrections is performed, then accurate detection of changes is possible, but time consumption and labor requirements increase significantly
Solution Approach 1:
The system replaces the manual mechanical process of detecting corrections with an automated image recognition and comparison system. By using optical character recognition to extract printed information and automatically comparing it with encoded information, the system achieves high detection accuracy while eliminating the time-consuming and labor-intensive nature of manual verification.
Solution Approach 2:
The system creates a digital copy of the printed basic medical information through image recognition and extracts text data from the scanned medical record sheet. This digital copy can then be automatically compared with the encoded information, enabling rapid and accurate detection of corrections without requiring manual copying or verification of each character.
3Adaptability or versatility
If all medical information is fully digitized and stored, then data sharing and accessibility are improved, but data security and privacy protection become more challenging
Solution Approach 1:
The system performs preliminary validation and verification of the digitized data by comparing extracted printed information with encoded information before storing it in the database. This preliminary check ensures that only accurate and verified medical information is digitized and shared, reducing the risk of propagating errors while maintaining data accessibility and sharing capabilities.
Data Source
AI summary
An image processing apparatus includes an extractor that receives sheet image data that is generated by reading an image on a medical record sheet onto which basic medical information and encoded information of the basic medical information are printed, and extracts, from the sheet image data, information image data representing a portion where the basic medical information is printed, an image generator that generates reference image data representing the basic medical information, based on the encoded information represented in the sheet image data, and a detector that detects a correction that is to be performed on the basic medical information printed on the medical record sheet, based on a difference between the information image data and the reference image data.