Content Parsing Engine for Cloud EMR Data Extraction
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Solution Overview
Problem
Cloud services are difficult to use with multi-function peripherals (MFPs due to requiring high programming skills and different settings for each service, and maintaining user authorization data on the client side is impractical.
Innovation Solution
An apparatus with processors and memory that receives Superbill data, creates parsing rules, and parses image data using a Content Parsing Engine to generate output data, allowing easy upload and registration to cloud services via a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud services are accessed directly from end-user devices, then functionality and access to cloud services is improved, but ease of operation deteriorates due to high programming skill requirements and complex settings
Solution Approach 1:
The patent introduces an intermediary system (the processing system with content parsing engine) that mediates between end-user devices and cloud services. This intermediary handles the complex tasks of content parsing, data extraction, and cloud service communication, allowing end-user devices to access cloud services through a simplified interface without requiring direct programming knowledge or complex settings configuration.
Solution Approach 2:
The system enables self-service operation where the content parsing engine automatically processes uploaded documents, extracts relevant information, and formats data for cloud services without requiring user intervention in the complex processing steps. Users simply upload documents through a user-friendly interface, and the system handles the technical complexities autonomously.
2Adaptability or versatility
If multiple cloud services are integrated into a workflow, then functionality is improved, but device complexity increases due to different settings requirements and data format conversions
Solution Approach 1:
The content parsing engine is designed as a universal processing system that can handle multiple document types and formats, and automatically adapts to different cloud service requirements. It provides multi-functional capabilities including document upload, content parsing, data extraction, format conversion, and integration with various cloud services through a single unified interface, eliminating the need for separate complex setups for each service.
Solution Approach 2:
The system dynamically adjusts processing parameters and data formats based on the target cloud service requirements. The content parsing engine modifies extraction parameters, data formats, and transmission settings automatically according to the selected cloud service, allowing a single system to serve multiple services with different settings requirements without increasing user-side complexity.
3Reliability
If user authorization data is maintained on the client side, then security is improved, but ease of operation deteriorates because it is unpractical and not possible in many situations
Solution Approach 1:
The system uses an intermediary cloud-based authentication mechanism that mediates between the end-user device and cloud services for authorization. Instead of maintaining sensitive authorization data locally on the client side, the system uses secure cloud-based identity verification and token-based authentication, eliminating the practical limitations of client-side data storage while maintaining security through centralized authentication services.
Data Source
AI summary
An approach provides sending captured Superbill image data and output data generated based on results of parsing the captured Superbill image data to an external system which manages Superbill data via a cloud system and a storage service. The cloud system creates parsing rule data for parsing a captured Superbill image in accordance with user operation at a client device. The cloud system obtains captured Superbill image data from the storage service, in response to receiving a notification indicating that the captured Superbill image data has been stored in the storage service. The cloud system parses the obtained image data based on the created parsing rule and generates output data based on results of parsing. The cloud system sends the generated output data and the obtained image data to the external system via the one or more computer networks.