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

Dania Saad Rammal, Muaed Jamal Alomar, Subish Palaian

2024Pharmacy Practice16 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

PharmacyWorkflowPharmacy practicePatient careClinical pharmacyMedication therapy managementMedicineNursingPharmacistManagementEconomicsArtificial Intelligence in Healthcare and EducationBiosimilars and Bioanalytical MethodsComputational Drug Discovery Methods