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Updated: Jan 16, 2026

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Enabling Dynamic Consent Through AI and Blockchain: The CONSENT Platform.

Panos Bonotis1, Pantelis Angelidis1, Katerina D Tzimourta1

  • 1Department of Electrical and Computer Engineering, University of Western Macedonia.

Studies in Health Technology and Informatics
|October 3, 2025
PubMed
Summary
This summary is machine-generated.

The CONSENT project developed an AI and Blockchain-powered platform for dynamic, user-centric consent management. This innovative solution enhances data privacy and compliance in complex digital ecosystems like healthcare.

Keywords:
Consent management platformGDPR complianceartificial intelligenceblockchaindata privacydynamic consentuser empowerment

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Area of Science:

  • Computer Science
  • Information Security
  • Health Informatics

Background:

  • Data ecosystems, particularly in healthcare, face increasing complexity.
  • Traditional static consent models are inadequate for evolving privacy regulations and user needs.
  • There is an urgent need for dynamic, user-centric consent management solutions.

Purpose of the Study:

  • To introduce an innovative Consent Management Platform (CMP) called CONSENT.
  • To leverage Artificial Intelligence (AI) and Blockchain technologies for secure, transparent, and flexible consent management.
  • To empower users with greater control over their data and aid organizational compliance (e.g., GDPR, CCPA).

Main Methods:

  • Development of a Consent Management Platform (CMP) integrating AI and Blockchain.
  • Implementation of intelligent consent recommendation mechanisms.
  • Utilizing tamper-proof decentralized storage for consent records.

Main Results:

  • The CONSENT platform offers a dynamic approach to consent management.
  • It combines AI-driven recommendations with secure, decentralized storage.
  • The platform aims to improve user data control and regulatory compliance.

Conclusions:

  • AI and Blockchain can significantly reshape consent management in the digital age.
  • The CONSENT platform provides a viable solution for complex data workflows in healthcare and digital services.
  • Future implementation and evaluation are planned to demonstrate the platform's effectiveness.