DeMedic
  • 📚Executive Summary
  • 📖Introduction
  • 🕶️The DeMedic Vision
  • 📀Core Features
    • Patient Data Ownership & Consent Control
    • DMEDI Token Utility
    • Peer-to-Peer Marketplace Architecture
    • Incentivized Participation Model
    • Researcher Access & Analytics Tools
    • Privacy, Encryption, and Compliance Standards
  • 🔧How It Works
    • Patient Onboarding and Data Contribution
    • Researcher Access Workflow
    • Data Privacy and Integrity Mechanisms
    • Ecosystem Flow: Data → Consent → Token → Utility
    • Incentive Alignment & Feedback Loop
  • 💰Tokenomics
    • Token Overview
    • Token Utility
    • Token Distribution
    • Economic Design Principles
    • Future Staking & DAO Features
  • 🖱️Use Cases
    • Clinical Research Acceleration
    • Real-World Evidence (RWE) for Drug Development
    • Public Health Surveillance & Crisis Response
    • AI Training for Health Diagnostics
    • Personalized Health Insights for Users
    • Ethical Monetization of Health Data
    • Medical Crowdsourcing & Patient-Led Research
  • 🏠Community & Governance
    • A Collaborative Community
    • Governance Model
    • Engagement Incentives
    • Open Ecosystem Philosophy
  • 🔐Security, Privacy & Compliance
    • Privacy by Design
    • End-to-End Encryption
    • Zero-Knowledge Proofs (ZKPs)
    • Differential Privacy
    • Identity & Access Management
    • Smart Contract Security
    • Data Sovereignty and User Controls
    • Regulatory Compliance
  • 🛣️Roadmap
    • Phase 1: Foundation & MVP (Q2 2025)
    • Phase 2: Early Ecosystem & Onboarding (Q3 2025)
    • Phase 3: Growth & Monetization (Q4 2025)
    • Phase 4: Decentralization & DAO Transition (Q1–Q2 2026)
    • Phase 5: Global Rollout & Institutional Adoption (Mid–Late 2026)
    • Ongoing: Innovation & Resilience
  • 📑Conclusion
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  1. How It Works

Data Privacy and Integrity Mechanisms

Every stage of the process integrates blockchain-native privacy and integrity protocols:

  • Immutable Audit Trail All interactions are logged immutably on-chain, enabling compliance, transparency, and dispute resolution.

  • Encrypted Storage & Federated Architecture Data is stored either locally on the user’s device, on IPFS, or via secure federated nodes operated by compliant partners. No central database means no single point of failure.

  • Zero-Knowledge Verification Before data is shared, ZKPs ensure the data meets research criteria without exposing raw fields.

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