Consent-Aware Data Generation for Personal Data Reuse
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Solution Overview
Problem
Existing systems struggle to effectively utilize collected medical data for applications beyond initial consent, requiring re-collection and wasting previously gathered data when new use applications emerge, due to the difficulty in obtaining consent for unforeseen uses.
Innovation Solution
A data generation apparatus and computer-readable medium that facilitates generating and processing consented data for new applications by requesting re-consent, duplicating data based on re-consent, and processing it to meet new application requirements, while determining asset value and presenting it to data providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If consent is obtained for a specific application at data collection, then data can be used for that application, but the data cannot be used for newly emerged applications without re-collecting consent and data
Solution Approach 1:
The patent implements a dynamic consent management system where consent records are updated and renewed for new applications. The system allows consent status to change from initial consent to re-consent as new applications emerge, making the consent framework flexible and adaptive rather than static.
Solution Approach 2:
The system performs preliminary checks to determine whether re-consent is necessary before using data for new applications. By proactively assessing consent status and initiating re-consent processes in advance, the system prevents data usage delays and ensures compliance before new applications are deployed.
2Reliability
If re-consent is required for new applications, then data compliance is maintained, but data collection and processing time increases
Solution Approach 1:
The system applies partial re-consent actions only when necessary. By implementing conditional re-consent logic that assesses whether re-consent is actually needed before initiating the process, the system avoids unnecessary time loss while maintaining compliance where required.
Solution Approach 2:
The system reuses existing consent record structures and data formats when creating re-consent records. By copying and adapting proven consent management patterns rather than creating entirely new processes, the system minimizes processing time while ensuring compliance standards are met.
3Reliability
If data is re-collected for new applications, then consent compliance is ensured, but previously collected data is wasted
Solution Approach 1:
The system recovers and reuses valid consent records for new applications instead of discarding them. By implementing logic that identifies and reutilizes existing consent where applicable, the system prevents data waste while maintaining the necessary consent framework for new uses.
Solution Approach 2:
The patent creates a universal consent management framework that can serve multiple applications. By designing consent records with flexible structures that can accommodate different applications, the system enables previously collected consent to be reused across multiple uses rather than being application-specific and disposable.
4Adaptability or versatility
If consent is obtained for unclear future applications, then data flexibility is improved, but it is often not possible to respond to newly emerged use applications
Solution Approach 1:
The system implements dynamic consent records that can be updated and renewed as new applications emerge. Rather than relying on static broad consent, the system allows consent status to evolve over time, maintaining responsiveness to new uses while preserving flexibility for future applications.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor emerging applications and trigger appropriate consent actions. By continuously assessing whether existing consent covers new uses and initiating re-consent processes when needed, the system maintains both flexibility and responsiveness to newly emerged applications.
Data Source
AI summary
The data generation apparatus according to the embodiment of the present invention includes a processor, in which the processor is configured to store consented data for which consent to use data in a first application is obtained from a data provider, request the data provider for re-consent to use the consented data in a second application different from the first application, and generate re-consented data obtained by duplicating the consented data based on acquisition of the re-consent. Re-consented processed data obtained by processing the re-consented data based on the second application is provided to a data usage apparatus.