Leiva Víctor, Castro Cecilia
School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
Centre of Mathematics, Universidade do Minho, Braga, Portugal.
Bioanalysis. 2025 Feb;17(3):161-176. doi: 10.1080/17576180.2025.2452774. Epub 2025 Jan 23.
This article examines the transformative potential of blockchain technology and its integration with artificial intelligence (AI) in clinical trials, focusing on their combined ability to enhance integrity, operational efficiency, and transparency in the data governance. Through an in-depth analysis of recent advancements, the article highlights how blockchain and AI address critical challenges, including patient data privacy, regulatory compliance, and security. The article also identifies key barriers to adoption in the mentioned integration, such as scalability limitations, association with existing healthcare systems, and high implementation costs. By presenting a comprehensive overview of the current research and proposing strategic directions, this work emphasizes how the synergy between blockchain and AI can revolutionize clinical trials through process automation, improved stakeholder trust, and robust transparency.
本文探讨了区块链技术的变革潜力及其在临床试验中与人工智能(AI)的整合,重点关注它们在数据治理方面增强完整性、运营效率和透明度的综合能力。通过对近期进展的深入分析,本文强调了区块链和人工智能如何应对关键挑战,包括患者数据隐私、监管合规性和安全性。本文还指出了上述整合中采用的关键障碍,如可扩展性限制、与现有医疗系统的关联以及高实施成本。通过全面概述当前研究并提出战略方向,这项工作强调了区块链和人工智能之间的协同作用如何通过流程自动化、提高利益相关者信任和强大的透明度来彻底改变临床试验。