Personal Health Record Server Multilingual Data Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional personal health records face challenges in being easily managed and converted into digital data, particularly when created in various languages, limiting their integration and management as global big data.
Innovation Solution
A server and method that receive image data, recognize and separate image and text information, and store patient and clinical information in a predetermined format regardless of language, enabling the creation and management of personal health records as global big data, including for children with developmental disabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional personal health records are used, then existing test records or prescriptions can be stored, but they are difficult to manage and convert into digital data
Solution Approach 1:
The patent replaces manual data entry and conversion processes with automated image recognition and optical character recognition (OCR) technology. The system automatically converts scanned images of test records and prescriptions into structured digital data, eliminating the need for manual transcribing and reducing errors associated with manual data conversion.
Solution Approach 2:
The patent introduces an intermediary processing layer between the physical health records and the digital database. Scanned images serve as intermediaries that are processed through recognition algorithms to extract information, which is then standardized and stored. This intermediary step simplifies the overall system by providing a universal input format (images) that can be converted to various digital formats.
2Adaptability or versatility
If personal health records are created in various languages, then local accessibility is improved, but integration into global bigdata becomes difficult
Solution Approach 1:
The patent applies parameter changes by transforming the language parameter of health records through automatic translation. The system accepts health records in multiple languages, translates them into a standardized format (e.g., English or a common language), and stores them uniformly in the database. This parameter transformation enables multilingual input while maintaining consistent data structure for global integration.
Solution Approach 2:
The patent creates a universal data processing pipeline that handles multiple languages through a single standardized workflow. The system uses multi-functional components including image recognition, OCR, and translation modules that work together to process health records from any language into a unified digital format, enabling both local accessibility and global integration.
3Measurement precision
If image data is processed to recognize text information, then data extraction accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by performing image preprocessing steps before text recognition, such as enhancing image quality, correcting distortions, and optimizing contrast. These preliminary actions improve the accuracy of subsequent text recognition and reduce the need for reprocessing, thereby reducing overall processing time while maintaining high accuracy.
Solution Approach 2:
The patent uses partial action by selectively applying text recognition only to relevant regions of images identified through initial processing, rather than processing every pixel uniformly. The system first identifies areas containing text through image analysis, then applies OCR only to those regions, significantly reducing processing time while maintaining extraction accuracy.
Data Source
AI summary
The disclosure includes a device and method for receiving image data, controlling to recognize one of image information and text information from the received image data and divide and store one of the recognized image information and text information into patient information and clinical information and change trend information according to treatment in a predetermined data format regardless of a language of the recognized text information, and displaying a personal health record including the stored patient information and clinical information according to a request and a recording medium thereof.