Cloud Medical Image Database Blockchain Encryption
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Solution Overview
Problem
Existing medical information systems face challenges in protecting patient personal information, as digital patient data is vulnerable to duplication and leakage, exposing sensitive information during transmission and storage.
Innovation Solution
A cloud-based medical image database method that separates medical and patient information data, encrypts patient information using blockchain techniques for secure transmission and storage, and decrypts it for secure diagnosis and consulting using big data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If patient information data is transmitted and stored in medical information systems, then medical services can be provided efficiently, but personal information leakage and duplication risks increase
Solution Approach 1:
The patent segments patient information into two distinct parts: personal identification information (PII) and non-personal identification information (non-PII). PII is encrypted and stored separately in a first database, while non-PII is stored in a second database. This segmentation allows medical services to access necessary information efficiently while protecting sensitive personal data from exposure during transmission and storage.
Solution Approach 2:
The patent introduces an intermediary mechanism - a unique patient identifier or code - that enables access to medical information without directly exposing personal identification information. This intermediary acts as a bridge between the need for efficient medical service delivery and the requirement for personal information protection, allowing authorized access while maintaining security.
2Reliability
If patient personal information is separated and managed separately, then information security is improved, but system complexity increases
Solution Approach 1:
The patent divides the medical information system into distinct segments: a first database for encrypted PII, a second database for non-PII, and separate processing pathways for handling different types of information. This segmentation improves security by isolating sensitive data while managing complexity through clear separation of concerns and defined access protocols for each segment.
Solution Approach 2:
The patent applies encryption transformations to personal identification information, changing its parameter state from plaintext to encrypted format. This parameter change enables secure storage and transmission while maintaining the ability to retrieve and use the information when needed, balancing security requirements with system usability without excessive complexity.
3Reliability
If blockchain encryption technique is used to encrypt patient information data, then data security and irreversibility are guaranteed, but processing time and computational resources increase
Solution Approach 1:
The patent applies blockchain encryption selectively only to personal identification information that requires highest security protection, rather than encrypting all medical data. This partial application of encryption maintains strong security for sensitive PII while avoiding the computational overhead of encrypting entire datasets, thus reducing processing time and resource consumption for non-sensitive information.
Solution Approach 2:
The patent performs encryption of personal identification information in advance during data entry or initial storage, before the data needs to be accessed or processed. This preliminary encryption action ensures security is established upfront, allowing faster retrieval and processing of already-encrypted data without incurring decryption overhead during critical access operations.
Data Source
AI summary
Provided is a method of building a cloud-based medical image database for protecting patient information and reading medical image therefrom, the method including: acquiring a medical image of a patient by using a medical apparatus; separating medical information data and patient information data from the medical image; encrypting the patient information data by using a block chain technique; separately transmitting the encrypted patient information data and the medical information data to the cloud-based medical image database, and storing the same in the cloud-based medical image database; decrypting the encrypted patient information data stored in the cloud-based medical image database by using a block chain technique; and performing diagnosis and consulting by reading the medical information data and the patient information data of the medical image according to a big data processing algorithm. Therefore, the method may protect patient's personal information and determine the cause and progress of a disease.

