AI-Driven pharmacy practice: Unleashing the revolutionary potential in medication management, pharmacy workflow, and patient care

Main Article Content

Dania Saad Rammal
Muaed Alomar
Subish Palaian


artificial intelligence, AI, machine learning, medication management, natural language processing, optimized medication selection, pharmacists


The integration of Artificial Intelligence (AI) in pharmacy practice holds great potential to revolutionize healthcare delivery and improve patient outcomes. AI can assist pharmacists in optimizing medication selection, predicting adverse drug events and drug interactions, enhancing inventory management, and automating prescription verification. Moreover, AI-driven systems can facilitate personalized counseling and lifestyle management for patients, promoting treatment adherence and better health outcomes. However, the implementation of AI in pharmacy practice faces challenges, including ethical considerations, data privacy, and the need for comprehensive training for pharmacists. This review article explores how AI technology is revolutionizing medication management, pharmacist workflow, and patient care in pharmacy practice. Authors also explore the various applications and recommendations to overcome the barriers, providing valuable insights for pharmacists, healthcare professionals and policymakers.

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