Digital Human Data Currency System for Medical Data Valuation
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Solution Overview
Problem
Current medical data systems are inadequate for comprehensive collection, analysis, and exchange, hindering applications such as disease diagnosis, treatment planning, and epidemic prediction.
Innovation Solution
A digital human data system integrating digital human replicas, simuli, agents, and a digital data currency system for data processing, analysis, and prediction, which includes data acquisition, encryption, anonymization, and valuation, supported by a platform for healthcare professionals, researchers, and regulatory sectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a comprehensive medical data system is implemented to improve data collection, analysis, and exchange capabilities, then the system complexity and implementation difficulty increase
Solution Approach 1:
The patent segments the comprehensive medical data system into multiple specialized modules: digital human replica system for virtual representation, digital human simuli system for simulation, digital human agent system for professional services, and digital data currency system for valuation. Each module handles specific functions independently, reducing overall system complexity while maintaining comprehensive capabilities.
Solution Approach 2:
The patent introduces digital data currency as an intermediary mechanism to facilitate data exchange and valuation between different participants (individuals, healthcare providers, researchers). This intermediary layer simplifies the complexity of direct multi-party negotiations and data sharing agreements by providing standardized valuation and exchange protocols.
2Reliability
If digital human replicas and simuli systems are constructed to simulate medical scenarios and improve treatment planning, then data processing and computational requirements increase
Solution Approach 1:
The patent creates digital human replicas as virtual copies of physical individuals, containing their medical data, physiological characteristics, and health history. These digital copies enable simulation of treatment scenarios without requiring actual clinical trials on patients, reducing computational resources needed for repeated real-world testing while improving treatment planning reliability through multiple virtual simulations.
Solution Approach 2:
The system performs preliminary simulations and analyses on digital human replicas before actual medical interventions. Treatment plans are tested and optimized in the virtual environment first, allowing pre-evaluation of multiple scenarios and selection of optimal treatments, thereby reducing the need for extensive computational resources during actual clinical implementation.
3Productivity
If data currency valuation subsystem is implemented to award and track data contributions, then the data exchange and incentive mechanisms improve, but the valuation and distribution complexity increases
Solution Approach 1:
The digital data currency system automatically valuates and distributes currency to participants based on their data contributions and the value generated from their data. The system self-manages the complex valuation processes, tracking data quality, usage, and impact without requiring manual intervention, thereby improving data exchange efficiency while containing valuation system complexity through automation.
Solution Approach 2:
The patent creates a universal digital data currency that can be used across all participants and transactions in the ecosystem. This single currency system handles multiple functions including data valuation, incentive distribution, access control, and transaction settlement, reducing the need for separate complex systems for each function while improving overall data exchange efficiency.
Data Source
AI summary
This patent discloses a medical service platform, method, and apparatus based on a human digital twin model that comprises a a data currency valuation subsystem that provides dynamic quotes of a digital currency based on values of corresponding data in the digital human digital data currency system.