Medical Data Analytics Governance With Ledger-Based Conformity Checks
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Solution Overview
Problem
The challenge of ensuring data security and efficiency in medical data analytics is hindered by varying data-security requirements and patient privacy regulations, particularly in inter-party interactions, leading to issues with data control and proliferation.
Innovation Solution
A system and method utilizing a distributed-ledger database system with non-editable regulations and smart contracts to manage data exchange, ensuring secure and efficient data analytics by preventing the transmission of protected data, and integrating additional processing components as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If classical data-exchange processes are used to share health information between healthcare provider and analytics entity, then data can be exchanged for analytics purposes, but data security and patient privacy are compromised due to copying and non-controllable data proliferation
Solution Approach 1:
The patent introduces a conformity evaluation system as an intermediary between the healthcare provider and analytics entity. This system evaluates data requests against predefined regulations and policies before allowing data exchange, thereby mediating the interaction to ensure security while maintaining exchange efficiency. The conformity evaluation acts as a gatekeeper that prevents unauthorized data sharing while allowing compliant requests to proceed.
Solution Approach 2:
The patent extracts the data exchange control logic from the traditional copy-based exchange model. Instead of allowing unrestricted copying of health information, the system extracts and enforces specific access rights and regulations. The conformity evaluation system separates the data storage function from the data access function, allowing controlled retrieval of only authorized data portions based on evaluated requests.
2Reliability
If data exchange regulations are strictly enforced to prevent data proliferation, then data security is improved, but data exchange efficiency and analytics capability are reduced
Solution Approach 1:
The patent implements preliminary conformity evaluation before data exchange occurs. The system pre-establishes regulations and policies that define acceptable data access patterns. When a data request is received, the conformity evaluation system performs preliminary assessment against these pre-defined rules, allowing authorized exchanges to proceed efficiently without real-time delays. This preliminary action filters out unauthorized requests before they can impact data security.
Solution Approach 2:
The patent introduces dynamic regulation adjustment capabilities to the data exchange system. The conformity evaluation system can adapt to changing data security requirements and exchange patterns over time. Regulations can be updated dynamically based on new security threats or analytical needs, allowing the system to maintain security while adapting to evolving productivity requirements without requiring complete system redesign.
3Adaptability or versatility
If multiple data regulations from different parties are aligned to enable inter-party interactions, then data exchange capability is improved, but system complexity increases due to variable and dependent requirements
Solution Approach 1:
The patent creates a universal conformity evaluation system that handles multiple data regulations and party requirements through a single integrated framework. Instead of requiring separate alignment mechanisms for each party's regulations, the system provides a multi-functional evaluation engine that can process diverse regulatory requirements uniformly. This universal approach enables inter-party interactions while managing complexity through standardized evaluation procedures.
Data Source
AI summary
A system for managing analysis of health information includes data-storage components configured for storage and retrieval of health information, sealed processing components configured for performing a conformity evaluation of data related to the health information and analytics data related to analysis requests, distributed-ledger components configured for regulation of data exchange between components of the system, and sealed processing components configured for performing specific data analytics on specific health information according to the conformity evaluation. The sealed processing components are characterized by a non-editable regulation on the distributed-ledger components preventing the sealed processing components from transmitting, to an external destination, certain protected data related to the specific data analytics on specific health information.