Blockchain Platform for Secure Healthcare Data Sharing
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Solution Overview
Problem
Organizations with healthcare data lack expertise to derive insights, while those with expertise lack data, and both face challenges in obtaining fair value for their assets, necessitating improved methods for data sharing and resource collaboration.
Innovation Solution
A computer-implemented method and system using machine learning models trained on healthcare data, with a blockchain to record transactions, track dependencies, and ensure compliance, facilitating access and usage through a uniform resource locator and smart contracts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If healthcare data is shared among organizations, then the ability to obtain insights and create value is improved, but data security and regulatory compliance become more difficult to maintain
Solution Approach 1:
The patent introduces a blockchain-based intermediary platform that mediates between data owners and service providers. The blockchain ledger records all data access and usage transactions immutably, enabling trusted sharing while maintaining security and compliance through transparent, auditable operations without requiring direct trust between participating organizations.
Solution Approach 2:
The system implements feedback mechanisms through smart contracts that automatically track and record data usage, model training, and inference operations. This creates a closed-loop system where data access is monitored, valued, and compensated in real-time, ensuring regulatory compliance while enabling productive data sharing across multiple organizations.
2Reliability
If machine learning models are developed using healthcare data, then the quality of healthcare services is improved, but the complexity of managing data access and model sharing increases
Solution Approach 1:
The patent implements self-service mechanisms through automated smart contracts that handle data access requests, model training permissions, and usage tracking without manual intervention. The blockchain system automatically manages the complex permissions and transactions, reducing administrative overhead while maintaining high-quality service delivery through consistent, rule-based access control.
Solution Approach 2:
The blockchain platform serves multiple functions simultaneously: it acts as a secure data registry, a model training authorization system, a usage tracking ledger, and a compensation mechanism. This multi-functional approach consolidates what would otherwise require separate complex systems into a single unified platform, reducing overall system complexity.
3Reliability
If organizations retain ownership of their healthcare data and models, then control and security are improved, but collaboration and resource sharing become difficult
Solution Approach 1:
The patent segments data ownership and access rights into transferable, granular units recorded on the blockchain. Organizations can divide their data and model access permissions into specific tokens or rights that can be selectively shared with different partners for specific purposes, maintaining overall control while enabling flexible collaboration across multiple organizations.
Data Source
AI summary
A computer-implemented method, system and computer program product for sharing and utilizing healthcare data, by: providing one or more computer-implemented machine learning models for analyzing the healthcare data; and recording transactions involving the machine learning models using a blockchain as a distributed ledger that is shared, replicated and synchronized. Healthcare data is also used to train the machine learning models. The healthcare data comprises research data or patient data such as Electronic Medical Records (EMRs). A smart contract that is a computer-implemented protocol is used to facilitate, verify or enforce negotiation of the transactions involving the machine learning models or healthcare data.