Genetic Data Platform with Client Permission Control
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Solution Overview
Problem
Current data management systems lack efficient mechanisms for controlled distribution and reuse of client data, particularly genetic data, which can be costly to generate and underutilized after initial purposes are fulfilled, leading to potential waste and missed opportunities for research and analysis.
Innovation Solution
A platform is developed to manage a genetic app store that enables controlled distribution of client data, allowing developers to request specific genetic data while ensuring authorization and pre-approval processes are in place to determine permitted uses, storage, and access, facilitating data reuse while protecting client privacy and rights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If client genetic data is distributed freely for research purposes, then research efficiency and data utility are improved, but client privacy and data security are compromised
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between data requesters and client genetic data. This intermediary verifies requester credentials, checks client consent preferences, and controls data access without requiring direct contact between requesters and clients. The intermediary architecture enables research efficiency while protecting client privacy by filtering and authorizing all data access requests through a centralized control mechanism.
Solution Approach 2:
The system performs preliminary actions by establishing client consent preferences and access control rules before any data distribution occurs. Clients pre-approve or deny specific types of data access and specify which entities can request their data. This preliminary authorization framework ensures that only pre-approved requests proceed to data retrieval, preventing unauthorized access while enabling legitimate research efficiently.
2Loss of energy
If genetic data is stored and made accessible for multiple uses, then data reuse value is improved, but data storage complexity and management overhead increase
Solution Approach 1:
The patent implements a universal data management system that handles multiple functions within a single platform: storing genetic data, managing client consent preferences, verifying requester credentials, authorizing access, and controlling data distribution. This multi-functional system reduces the need for separate specialized systems for each function, thereby reducing overall system complexity while enabling comprehensive data reuse across research, clinical, and commercial applications.
Solution Approach 2:
The system dynamically changes access parameters based on client preferences, requester credentials, and data type. Instead of using a single static access control mechanism, the system adjusts authorization parameters in real-time according to the specific request context. This parameter-based access control enables flexible data reuse while maintaining manageable system complexity through rule-based automation rather than manual approval processes.
3Reliability
If strict access control measures are implemented for genetic data, then client security is improved, but data accessibility and research productivity decrease
Solution Approach 1:
The system implements self-service mechanisms where clients autonomously configure their own data access preferences and permissions without requiring manual intervention from administrators. The automated credential verification and consent checking processes operate independently, granting immediate access to authorized requesters without human review delays. This self-service approach maintains strict security controls while maximizing data access efficiency through automation.
Data Source
AI summary
Methods and systems disclosed herein relate generally to processing data requests from external assessment systems. More specifically, an interface is availed to external assessment systems that accepts an identification of one or more genes. Upon receiving a request identifying one or more genes, a type of access authorized for the requesting external assessment system is assessed. When it is determined that the type of data access indicates that the external assessment system is authorized to access data for the one or more genes, a data repository is queried to identify client data that corresponds to the one or more genes and that indicates or can be used to detect a presence of client-associated variants. A response data set that includes at least some of the client data is transmitted to the external assessment system.