ROLE OF ARTIFICIAL INTELLIGENCE AI AND MACHINE LEARNING IN CLINICAL PHARMACY PRACTICE

ABSTRACT:
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming clinical pharmacy
practice by enabling data-driven decision-making, personalized therapy, and improved patient
outcomes. Traditionally, pharmacists relied on standard guidelines and manual evaluation, which
may not fully capture the complexities of individual patient needs. AI and ML provide innovative
approaches for analyzing large-scale healthcare data, predicting disease progression, optimizing
drug therapy, and minimizing adverse drug reactions. These technologies support clinical
pharmacists in medication management, drug–drug interaction detection, pharmacovigilance, and
adherence monitoring, thereby enhancing safety and effectiveness of treatments. AI-based clinical
decision support systems can identify the most suitable therapeutic options for patients by
integrating genetic, clinical, and lifestyle data. Machine learning algorithms are also applied in dose
optimization, early detection of medication errors, and automation of routine tasks, allowing
pharmacists to focus on patient-centered care. With continuous advancements, AI and ML are
expected to play a crucial role in achieving precision pharmacy, reducing healthcare costs, and
improving overall quality of clinical services. The AI role in pharmacy practice is revolutionary.
From improved patient safety and treatment outcomes to workflow optimization and personalized
delivery of care, AI is changing the way pharmacists deliver their services. But it is necessary to
confront the challenges, introduce appropriate training, and cooperate in order to unleash the
potential of AI towards improved pharmacy practice and patient care. AI is revolutionizing the
pharmacy career through paradigm shifts in how pharmacists provide their services, ranging from
optimizing patient safety and therapeutic results to enhancing operations and providing tailored
care. But it is essential to meet the challenges, get necessary training, and cooperate in order to
realize the potential of AI in enhancing pharmacy practice and patient care.
Keywords: Clinica practice, Machine learning, Pharmacovigilance, Optimizing drug threapy,
Personalized drug delivery.