4.3 Data Verification and Reward System
MEDIACCEL incorporates a robust data verification and reward framework to ensure ecosystem trust and integrity.
AI-Based Automated Verification: Submitted data is automatically verified using AI algorithms to detect inconsistencies, evaluate logical errors, and assess reliability. This ensures the swift and accurate validation of large-scale data.
Cross-Verification by Medical Experts: After AI verification, data is reviewed by certified medical professionals to confirm its accuracy and relevance. This dual-layer validation enhances data quality and platform credibility.
Reward System for Contributors: Participants who provide, verify, or use data are rewarded with MDXL tokens. Rewards are distributed based on data quality, volume, and its application in healthcare innovation. Examples include:
Basic Data Rewards: Participants earn tokens for submitting general health records or symptom checklists.
Quality-Based Incentives: Data with high consistency and detail receives additional bonuses.
Long-Term Participation Rewards: Continuous data contributions are incentivized through milestone-based bonuses, encouraging sustained engagement.
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