Trust chain an AI augmented blockchain framework for intelligent healthcare data security and pharmaceutical supply chain authenticity

AMRATANSHU, AMRATANSHU and JAISWAL, ANADI and SAHU, UJJWAL and JAISWAL, ADITYA (2025) Trust chain an AI augmented blockchain framework for intelligent healthcare data security and pharmaceutical supply chain authenticity. World Journal of Advanced Engineering Technology and Sciences, 15 (2). 098-106. ISSN 2582-8266

The increasing reliance on digital technologies in the healthcare and pharmaceutical industries has sparked significant concerns about the security of sensitive medical information and the integrity of drug supply chains. Centralized data storage systems are becoming more susceptible to breaches, and the threat of counterfeit medications continues to endanger patient safety. In response to these pressing issues, we present Trust Chain, an innovative framework that leverages AI enhanced blockchain technology. Trust Chain aims to tackle both the security of healthcare data and the authenticity of pharmaceutical products throughout the supply chain. By combining the immutability and decentralization of blockchain with the predictive and analytical strengths of artificial intelligence (AI), Trust Chain offers a robust solution. This framework provides tamper resistant storage for medical data, implements intelligent access controls, and allows for real time tracking of pharmaceutical movements. The integration of AI enables advanced features such as anomaly detection, risk forecasting, and pattern analysis, which collectively enhance the system's intelligence and responsiveness. While we acknowledge that large scale experimental validation and implementation will be addressed in future work, the conceptual design of Trust Chain shows great promise in significantly mitigating data vulnerabilities and combating drug counterfeiting. By fostering a more secure, transparent, and trustworthy healthcare ecosystem, Trust Chain aspires to enhance patient privacy, uphold supply chain integrity, and improve decision making among healthcare stakeholders.