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Abstract

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.

Article Type

Review

First Page

1285

Last Page

1299

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