Artificial intelligence in clinical pharmacy: enhancing drug safety, adherence, and patient-centered care

Abstract

Artificial Intelligence (AI) rapidly transforms clinical pharmacy by enhancing drug safety, medication adherence, and patient-centered care. This paper explores the application of AI in clinical pharmacy and its potential to revolutionize pharmacy practices by improving patient outcomes. It highlights AI-driven innovations in drug safety through predictive analytics for adverse drug event detection and prevention and advancements in pharmacovigilance. Additionally, AI’s role in optimizing medication adherence through personalized strategies, reminders, and digital tools is discussed, emphasizing the importance of improving patient compliance for better therapeutic outcomes. The integration of AI into patient-centered care is examined, focusing on personalized medicine, clinical decision support, and AI-powered patient engagement tools that improve counseling and patient monitoring. Despite the promising benefits, challenges such as regulatory, ethical, and technological barriers to AI adoption in clinical pharmacy are addressed. Finally, the paper provides recommendations for the future integration of AI into clinical pharmacy, emphasizing the need for clear regulatory frameworks, ethical guidelines, and technological advancements to ensure safe, effective, and equitable implementation.

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