Medical Information Processing for Cloud Privacy
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Solution Overview
Problem
Current medical information processing methods and cloud platform service systems face challenges in ensuring information security and personal privacy, particularly during the transmission and calculation of medical information across different file formats, which are diverse and contain varying types of information.
Innovation Solution
A medical information processing method and cloud platform service system that incorporate a calculation required information detection process and a verification information generation process. This system detects and deletes unnecessary descriptive information, generating to-be-processed medical information that only includes calculation-required data, thereby ensuring privacy and security during cloud-based medical information processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all descriptive information is retained in medical information files, then complete medical data is available for processing, but personal privacy and information security are compromised
Solution Approach 1:
The patent segments descriptive information into two categories: calculation-required information (retained) and non-calculation-required information (deleted). This segmentation allows the system to keep only essential medical data for processing while removing personal identifiers and other sensitive information, thus resolving the contradiction between maintaining complete medical data and protecting patient privacy.
Solution Approach 2:
The patent extracts and removes non-essential descriptive information from medical files before cloud transmission. By taking out only the calculation-required information and leaving the rest, the system ensures information security while maintaining the完整性 of medically relevant data needed for AI processing.
2Reliability
If all descriptive information is deleted before cloud processing, then information security is improved, but calculation accuracy may be affected due to missing required information
Solution Approach 1:
The patent segments descriptive information into calculation-required and non-calculation-required categories. This segmentation ensures that only essential medical data is retained for accurate AI processing, while personal identifiers are removed. The segmentation resolves the contradiction by preserving calculation accuracy through selective retention of necessary information.
Solution Approach 2:
The patent introduces an intermediary information checkout mechanism that verifies which descriptive information is required for calculation before deletion. This intermediary process ensures that no calculation-critical information is accidentally removed, thereby maintaining calculation accuracy while still achieving information security through removal of non-essential data.
3Reliability
If medical information is transmitted in original format with all descriptive information, then complete data is available for analysis, but transmission security and privacy compliance are compromised
Solution Approach 1:
The patent segments medical information files into essential calculation data and removable descriptive information. This segmentation allows the system to transmit only necessary medical data in standardized formats to cloud platforms, ensuring both transmission security and format compatibility for AI processing while excluding personal identifiers.
Solution Approach 2:
The patent creates a universal information processing framework that handles multiple file formats (DICOM, NIfTI, ANALYZE, RTSS) through a common checkout and deletion mechanism. This universal approach ensures that regardless of the source file format, the transmitted medical information maintains security compliance while remaining compatible with various AI calculation applications.
4Reliability
If information checkout and verification processes are implemented, then calculation accuracy and security are improved, but system complexity increases
Solution Approach 1:
The patent performs information checkout and verification as preliminary actions before cloud transmission. By detecting calculation-required information and deleting non-essential data in advance, the system ensures calculation accuracy and security without adding complexity to the actual AI processing stage. The preliminary action resolves the contradiction by front-loading the verification work.
Solution Approach 2:
The patent implements self-service mechanisms where the system automatically detects, verifies, and deletes inappropriate descriptive information without requiring manual intervention. This automation reduces system complexity by eliminating the need for manual information review processes while maintaining high calculation accuracy and security standards.
Data Source
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AI summary
A medical information processing method, which is used to process medical information including descriptive information and to-be-processed data. The processed medical information conforms a calculation of a medical information calculation application. The method includes a calculation required information detection process and a verification information generation process. The calculation required information detection process detects at least one calculation required information required by the medical information calculation application from the descriptive information, if the detection result is true, deletes all or part of accompanying descriptive information other than the calculation required information, and generates to-be-processed medical information based on the to-be-process data and the remained descriptive information. The verification information generation process generates a verification information when the to-be-processed medical information is generated by the calculation required information detection process.