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

Studies in health technology and informatics Pub Date : 2025-10-02 DOI:10.3233/SHTI251556

Panos Bonotis, Pantelis Angelidis, Katerina D Tzimourta, Stamatia Bibi

{"title":"Enabling Dynamic Consent Through AI and Blockchain: The CONSENT Platform.","authors":"Panos Bonotis, Pantelis Angelidis, Katerina D Tzimourta, Stamatia Bibi","doi":"10.3233/SHTI251556","DOIUrl":null,"url":null,"abstract":"<p><p>The increasing complexity of data ecosystems, especially healthcare, highlights the urgent need for dynamic, user-centric consent management solutions. Traditional static consent models struggle to adapt to evolving privacy regulations, organizational needs, and user expectations. The CONSENT project introduces an innovative Consent Management Platform (CMP) that leverages Artificial Intelligence (AI) and Blockchain technologies to enable secure, transparent, and flexible management of consent in complex data workflows. By combining intelligent consent recommendation mechanisms with tamper-proof decentralized storage, the CONSENT platform aims to empower users with greater control over their data while facilitating organizational compliance with frameworks such as GDPR and CCPA. This paper presents the platforms vision, core technological pillars, and the planned evaluation strategy, including the anticipated implementation in healthcare and digital services, providing insights into how AI and Blockchain can reshape consent management for the healthcare digital age and beyond.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"330-334"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI251556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

The increasing complexity of data ecosystems, especially healthcare, highlights the urgent need for dynamic, user-centric consent management solutions. Traditional static consent models struggle to adapt to evolving privacy regulations, organizational needs, and user expectations. The CONSENT project introduces an innovative Consent Management Platform (CMP) that leverages Artificial Intelligence (AI) and Blockchain technologies to enable secure, transparent, and flexible management of consent in complex data workflows. By combining intelligent consent recommendation mechanisms with tamper-proof decentralized storage, the CONSENT platform aims to empower users with greater control over their data while facilitating organizational compliance with frameworks such as GDPR and CCPA. This paper presents the platforms vision, core technological pillars, and the planned evaluation strategy, including the anticipated implementation in healthcare and digital services, providing insights into how AI and Blockchain can reshape consent management for the healthcare digital age and beyond.

查看原文本刊更多论文

通过AI和区块链实现动态同意：同意平台。

数据生态系统（尤其是医疗保健系统）日益复杂，迫切需要动态的、以用户为中心的同意管理解决方案。传统的静态同意模型难以适应不断变化的隐私法规、组织需求和用户期望。CONSENT项目引入了一个创新的同意管理平台（CMP），该平台利用人工智能（AI）和区块链技术，在复杂的数据工作流程中实现安全、透明和灵活的同意管理。通过将智能同意推荐机制与防篡改分散存储相结合，consent平台旨在使用户能够更好地控制他们的数据，同时促进组织遵守GDPR和CCPA等框架。本文介绍了平台的愿景、核心技术支柱和计划的评估策略，包括在医疗保健和数字服务中的预期实施，提供了人工智能和区块链如何重塑医疗保健数字时代及以后的同意管理的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Studies in health technology and informatics

自引率

0.00%

发文量