Artificial Intelligence in Clinical Pharmacy: Enhancing Medication Therapy and Patient Safety

Abstract

Clinical pharmacy is a patient-centred discipline focused on optimizing medication therapy and improving healthcare outcomes. In recent years, the integration of Artificial Intelligence (AI) into clinical pharmacy has transformed patient care by enhancing decision-making, improving accuracy, and reducing medication-related risks. Clinical pharmacists play a critical role in evaluating drug therapy, identifying drug-related problems, and ensuring safe and effective medication use.AI technologies, including machine learning, predictive analytics, and clinical decision support systems, assist pharmacists in analyzing large volumes of patient data, detecting potential drug interactions, predicting adverse drug reactions, and personalizing treatment plans. Patient care analysis in clinical pharmacy involves systematic evaluation of medical history, laboratory data, and therapeutic outcomes, which is further strengthened by AI-driven tools that improve efficiency and precision. The integration of AI in clinical pharmacy has demonstrated significant benefits such as reduced medication errors, improved adherence, enhanced therapeutic outcomes, and decreased healthcare costs. However, challenges such as data privacy concerns, lack of technical expertise, and high implementation costs remain barriers to widespread adoption. Future advancements in pharmacogenomics, tele pharmacy, and AI-based precision medicine are expected to further enhance the role of clinical pharmacists. Overall, the collaboration between clinical pharmacy and AI represents a progressive approach to delivering safer, more efficient, and patient-centred healthcare services.

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