Artificial Intelligence in Pharmaceutical Care: Transforming Drug Discovery, Development, and Patient-care Delivery

The integration of artificial intelligence (AI) into pharmaceutical care represents a paradigm shift in healthcare delivery, offering unprecedented opportunities to revolutionize medication management, accelerate drug development, and enhance patient outcomes. This comprehensive review synthesized evidence from global literature (2021-2025) examining AI applications across drug discovery and development, clinical trials optimization, medication therapy management, and pharmacy operations. The AI demonstrated prediction accuracies of 86-98% in drug discovery, 80% improvement in clinical trial recruitment efficiency, and 32.7% increase in medication adherence over standard care. The global AI drug discovery market, valued at $1.5 billion (2023), is projected to reach $11.8 billion by 2030, reflecting substantial industry investment. However, implementation challenges persist including data quality concerns (30% accuracy in some datasets), regulatory compliance issues, and algorithmic bias (8-12% performance variations across demographics). Successful implementation requires coordinated efforts across technological development, regulatory frameworks, healthcare professional training, and continuous validation protocols addressing technical, organizational, and ethical dimensions simultaneously.