Contextual NFT Infrastructure for Secure Patient Financial Data
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Solution Overview
Problem
Current technological systems for monitoring patients in the healthcare industry rely on incomplete data and poor decision-making solutions, leading to antiquated patient monitoring and management practices.
Innovation Solution
An AI-powered and blockchain-enabled system for generating contextual non-fungible tokens (NFTs) that secure and efficiently manage patient financial records, ensuring privacy, security, and control through advanced AI techniques, natural language processing, machine learning algorithms, and decentralized ledgers for secure data sharing and access management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional patient monitoring systems are used, then system simplicity is maintained, but data completeness and decision-making quality deteriorate
Solution Approach 1:
The system segments patient data into multiple types (demographic data, financial data, treatment data, outcome data) and stores them in separate blockchain transactions. Each data type is processed and verified independently, then consolidated to provide complete patient information while maintaining system manageability through modular architecture.
Solution Approach 2:
The patent implements nested data structures where patient records contain embedded financial transactions, treatment protocols, and outcome measurements. The blockchain serves as a container for these nested data elements, allowing comprehensive information storage without proportionally increasing system complexity at each layer.
2Measurement precision
If comprehensive patient data is collected and analyzed, then decision-making quality improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary data validation, cleaning, and structuring actions automatically when data is first collected from healthcare providers. Blockchain smart contracts execute predefined validation rules in advance, so that when analysis is needed, the data is already prepared and ready, reducing processing time while maintaining high decision-making quality through comprehensive data analysis.
3Reliability
If patient data is shared broadly to improve monitoring, then monitoring effectiveness improves, but data security and privacy risks increase
Solution Approach 1:
The patent applies local quality control by creating patient-specific access keys and permission matrices that allow different levels of data access for different users. The blockchain stores comprehensive patient data, but individual users only receive and process the specific data portions authorized for them, maintaining monitoring effectiveness while minimizing security risks through localized access control.
Solution Approach 2:
The blockchain acts as an intermediary layer between data collectors and data users. It verifies authentication credentials, validates access permissions, and mediates data transfers through smart contracts. This intermediary function enables broad data sharing for effective monitoring while protecting against unauthorized access through cryptographic verification and centralized permission management.
Data Source
AI summary
A method includes retrieving a plurality of data from one or more data sources, generating, a contextual NFT based on at least a portion of the plurality of data, executing one or more ephemeral computing operations. The method also includes, as a result of deletion of an ephemeral record created during the ephemeral computing operations, generating a unique reference pointing to an original timestamped source of at least a portion of the plurality of data associated with an original recipient, and performing source tracking to track the unique reference associated with the original recipient. The method also includes determining a proof of achievement score based on results of the one or more hybrid transactions, performing analysis and adjudication using a transaction repository and the at least one smart contract, and determining and output a proof of acknowledgement result based on the analysis and adjudication.