Patient Data Ledger Tracking for Provider Royalties and Sharing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing healthcare systems lack a unified data structure to aggregate and share patient data across multiple providers, leading to incomplete patient profiles and inefficient data sharing due to format discrepancies and lack of incentives, with significant costs and delays in data transfer.
Innovation Solution
A data provider tracking and monetization system utilizing a distributed ledger to aggregate patient data, incentivize providers through cryptocurrency transactions, and implement algorithms for royalty calculations based on data category and size, ensuring transparent and compliant data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is shared across multiple healthcare providers, then completeness of patient records is improved, but data aggregation complexity increases due to disparate formats and processes
Solution Approach 1:
The patent segments data aggregation into standardized modular components using FHIR (Fast Healthcare Interoperability Resources) standards. Each healthcare provider's data is divided into discrete, standardized data elements that can be independently exchanged and reassembled, reducing aggregation complexity while maintaining record completeness.
Solution Approach 2:
The patent introduces a blockchain-based intermediary layer that mediates between disparate healthcare data systems. This intermediary standardizes data formats, validates data integrity, and facilitates seamless exchange between providers, eliminating the complexity of direct multi-system integration.
2Productivity
If data providers are incentivized to share data, then data sharing participation is improved, but system complexity increases due to tracking and royalty distribution requirements
Solution Approach 1:
The patent implements smart contracts on the blockchain that automatically track data usage, calculate royalties, and distribute payments without human intervention. The system self-services the complex tracking and distribution tasks through automated contract execution, reducing operational complexity while maintaining incentive structures.
Solution Approach 2:
The patent establishes an automated feedback loop where data usage is tracked, royalties are calculated based on usage metrics, and payments are distributed back to providers. This continuous feedback mechanism automates the incentive system, making participation straightforward while managing complexity through algorithmic control.
3Reliability
If traditional accounting processes are used for data exchange, then financial tracking is improved, but processing efficiency deteriorates due to manual invoicing and reconciliation
Solution Approach 1:
The patent replaces manual accounting processes with automated blockchain-based financial tracking. Smart contracts automatically record data transactions, calculate fees, and execute payments, substituting mechanical manual processes with automated digital systems that maintain accuracy while dramatically improving processing efficiency.
4Loss of information
If data is exchanged between multiple providers, then comprehensiveness of patient information is improved, but network congestion and data quality issues increase
Solution Approach 1:
The patent changes the structural parameters of data exchange by implementing standardized FHIR data models and blockchain transaction formats. This standardization transforms disparate, uncategorized data into structured, queryable information, reducing network congestion through efficient data encoding and improving overall data quality.
Solution Approach 2:
The patent creates a universal data exchange framework that handles multiple data types and provider systems through a single standardized interface. This multi-functional system processes diverse healthcare data uniformly, preventing network congestion by routing all exchanges through optimized standardized channels rather than multiple ad-hoc connections.
Data Source
AI summary
A data provider tracking and monetization system is disclosed that can provide data aggregation infrastructure, tracking, and monetization. The present disclosure achieves the technological advantage of organizing data that is received from multiple data providers for a single person to provide any missing data. The data providers can be tracked via the provision of their data, such that they can be incentivized for providing the data. The present disclosure improves traditional systems by generating a data structure that includes metadata to identify data providers and data requestors to minimize network congestion, uncategorized data, and stale data that ravages traditional systems. Further by publishing the transactions on a distributed ledger, such as a blockchain, the request for data and all of the contributions thereto provide an open, verifiable, and immutable record of the transaction.