Recent Advances in Blockchain and Contextual White Shark Attention Network for Drug Supply Chain Management and Recommendations in the Smart Pharmaceutical Industry: A Systematic Review

Abstract

The pharmaceutical supply chain is a complex ecosystem involving manufacturers, distributors, pharmacies, healthcare providers, and regulatory authorities. Ensuring transparency, drug authenticity, and secure distribution within this system is critical for patient safety and public health. However, traditional pharmaceutical supply chain systems face numerous challenges, including counterfeit drugs, lack of traceability, inefficient data sharing, and fragmented logistics management. Recent technological advancements such as blockchain and artificial intelligence have emerged as promising solutions to address these challenges and improve supply chain transparency, security, and operational efficiency.This systematic review explores recent advances in blockchain technology combined with intelligent recommendation systems such as the Contextual White Shark Attention Network for drug supply chain management in the smart pharmaceutical industry. Blockchain technology enables secure and tamper-proof records, improving traceability, transparency, and trust among stakeholders in pharmaceutical supply chains. Meanwhile, AI-based attention networks and optimization algorithms provide intelligent drug recommendation mechanisms by analyzing patient reviews, clinical data, and medication effectiveness. This review analyzes recent research developments, identifies current challenges, and highlights future research directions for integrating blockchain with advanced AI models to build secure and intelligent pharmaceutical supply chain systems.