Query Routing System for Local Medical Data Analysis
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Solution Overview
Problem
Current systems fail to ensure authorized access to medical data for external users while maintaining privacy, as they often require data to be shared and replicated outside the control of medical providers, lacking safeguards to monitor usage and ensuring adherence to strict data rights agreements.
Innovation Solution
A system that routes queries from outside users to medical providers for local processing, using index information to identify and route requests to appropriate providers, allowing for analysis without moving or copying the medical data, and enabling machine learning model training across multiple providers while keeping data private.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If medical data is shared and replicated outside the control of medical providers to enable external analysis, then access to medical data for external users is improved, but data privacy and security are worsened
Solution Approach 1:
The patent introduces a query routing system as an intermediary between external users and medical data. The system receives queries from external users, routes them to appropriate medical providers for local processing, and aggregates results without requiring external users to directly access or replicate medical data. This mediator approach enables external analysis while maintaining data privacy and control within healthcare organizations.
Solution Approach 2:
The patent segments the data access architecture by keeping medical data localized at individual provider sites while separating the query processing and analysis functions. External users interact with a centralized query interface that segments the data access path through routing decisions, allowing analysis without data movement or replication outside controlled environments.
2Object-affected harmful factors
If medical data is tightly restricted to ensure privacy and security, then data privacy is improved, but ability to perform complex analyses across large datasets is worsened
Solution Approach 1:
The query routing system acts as an intermediary that enables complex analyses without compromising data privacy. It allows external users to submit analysis queries that are routed to appropriate providers, processes data locally at each provider's controlled environment, and aggregates results. This maintains tight data restrictions while enabling sophisticated analytical capabilities through the mediator layer.
Solution Approach 2:
The system provides universal access to medical data analysis capabilities through a standardized query interface that can handle various analysis types. The routing mechanism universally directs queries to appropriate providers regardless of data location or analysis complexity, enabling multi-functional analysis capabilities while maintaining consistent privacy protection across all operations.
3Reliability
If medical data is kept private and not replicated outside providers, then data security is improved, but access for external research and analysis is worsened
Solution Approach 1:
The query routing system serves as a mediator that maintains data security within provider-controlled environments while enabling external research and analysis capabilities. External users can access analysis functions through the routing interface without direct access to or replication of medical data, preserving security while achieving adaptability for research purposes.
Solution Approach 2:
The architecture segments access rights and data locations to maintain security. Medical data remains segmented at individual provider sites under strict access controls, while the query routing system provides segmented access points that allow external users to interact with data through controlled query interfaces without compromising overall security or enabling data replication.
Data Source
AI summary
Systems and methods for data aggregated based on disparate local processing of requests. One of the methods includes receiving a request associated with analyzing medical data, the request specifying one or more constraints; accessing index information, and identifying one or more medical providers storing medical data responsive to the request; instructing, for each medical provider, compute systems controlled by the medical provider to perform the request; receiving, from the medical providers, results associated with the request, and aggregating the results; providing the aggregated results in response to the request.