Abstract

Mr Balasubramaniyan P., Dr. M. K. Sundar Sri, Dr. M. Kalaiarasan*

ABSTRACT

Artificial intelligence (AI) revolutionizes healthcare in terms of decision making, patient safety, and the optimization of health services. The role of AI technologies in clinical pharmacy involves medication management, therapeutic monitoring, pharmacovigilance, prescription verification, and personalized medicine. Machine learning, deep learning, natural language processing, computer vision, and generative AI allow analyzing massive amounts of health-related data for evidence-based pharmaceutical care. AI-empowered tools help identify medication mistakes, adverse reactions, drug interactions, and adherence problems. AI contributes to patient counseling, antimicrobial stewardship, risk prediction, and clinical documentation for clinical pharmacists. Even though AI offers numerous benefits, such challenges as the lack of privacy and ethics in data use, the need for algorithm transparency, and high implementation cost should be taken into account. Further development and collaboration are likely to make clinical pharmacy even more effective.