Personal Data Database Identity Verification System
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Solution Overview
Problem
There is a need for a method to verify and maintain up-to-date personalized data in real-time, particularly for providing personalized medicine services, while addressing the challenge of identity verification on the Internet, which is crucial for preventing abuse in transactions and ensuring the authenticity of individuals in online interactions.
Innovation Solution
A computerized system that allows users to input and verify personal and relationship data, generating individual-identifier data sets (IDSs) for constructing a verified database, which can be processed to create sub-group databases for various applications, including personalized medicine, by selecting parameters such as medical conditions, genotypes, or geographic locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a database of personal data is constructed for personalized medicine, then the ability to provide tailored medical treatments is improved, but the difficulty of verifying individual identities and ensuring data authenticity increases
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between individuals and the database. This system uses multiple data sources and verification protocols to authenticate identities before allowing data entry, thereby ensuring data authenticity without requiring complex direct verification mechanisms at every point of interaction.
Solution Approach 2:
The system performs preliminary identity verification and data validation before individuals can contribute their personal and medical information to the database. This advance verification ensures that only authenticated individuals can enter data, preventing fraudulent entries while maintaining a streamlined process for legitimate users.
2Measurement precision
If real-time verification and updates of personal data are implemented, then the accuracy of personalized medicine services is improved, but the processing time and system complexity increase
Solution Approach 1:
The system implements periodic verification and update cycles rather than continuous real-time processing. Data is verified and updated at scheduled intervals and upon specific triggering events, maintaining high accuracy while avoiding the excessive processing time and resource consumption of continuous real-time verification.
Solution Approach 2:
The system maintains continuous availability and functionality while performing verification operations. Multiple verification processes operate in parallel, and the system continues to accept and process legitimate data submissions without interruption, ensuring both accuracy and timely service delivery.
3Reliability
If comprehensive personal and medical data are collected, then the quality of personalized medicine services is improved, but the risk of data abuse and security vulnerabilities increases
Solution Approach 1:
The system implements differential access controls where different users and systems have different levels of access to specific portions of the database. Sensitive medical information is protected with higher security requirements, while less sensitive demographic data has broader access. This ensures service quality through comprehensive data collection while mitigating abuse risks through localized security measures.
Solution Approach 2:
The system converts the potential harm of comprehensive data collection into benefit by using the same comprehensive data for multiple beneficial purposes: improving personalized medicine services, conducting medical research, and enabling public health initiatives. The verification system itself becomes a benefit by preventing data abuse while allowing legitimate uses.
Data Source
AI summary
A system and method are presented for managing and using (e.g. for commercial or medical use) of a database. A verified database of a plurality of identified individuals is provided. The verified database comprises a plurality of individual-identifier data sets (IDSs) and relationship data. The verified database is processed in accordance with one or more parameters or conditions selected in accordance with at least one medical application, and a sub-group database is created including data records of the individuals from the verified database having said one or more selected parameters or conditions. This allows collection of data comprising the one or more selected parameters or conditions and delivery of at least part of the collected data to one or more users, and enables applying data from the verified database to provide personalized medicine service to at least one of the identified individuals.