The Rise of Decentralized Clinical Trials Using AI and Blockchain

DOI: https://doi.org/10.63345/ijrmp.v12.i10.2

Sahil Ranjan

Independent Researcher

Greater Noida, India

Abstract

Decentralized clinical trials (DCTs) have emerged as a transformative approach in clinical research, driven by the convergence of advanced digital technologies. This manuscript explores the integration of artificial intelligence (AI) and blockchain technology into decentralized clinical trials. AI offers robust data analytics, predictive modeling, and enhanced decision-making processes, while blockchain provides immutable records, improved transparency, and data security. Together, these technologies promise to overcome traditional challenges in clinical trials such as patient recruitment, data integrity, and regulatory compliance. Through a comprehensive literature review up to 2022, this study identifies current trends, benefits, and limitations. The research methodology involves a systematic analysis of academic and industry sources, highlighting the roles of AI and blockchain in improving efficiency, participant engagement, and overall trial outcomes. The results indicate significant potential in leveraging these innovations to foster a more patient-centric and agile clinical research paradigm. The conclusion discusses future directions and recommends strategies for integrating AI and blockchain to fully realize the potential of decentralized clinical trials.

Keywords

Decentralized Clinical Trials; Artificial Intelligence; Blockchain; Data Security; Patient-Centric; Clinical Research

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