Impact of Artificial Intelligence on the Future of Clinical Pharmacy and Hospital Settings

This review aimed to comprehensively evaluate the impact of artificial intelligence (AI) on the future of clinical pharmacy practice and hospital settings. To achieve this, a thorough literature search was conducted across major databases, including PubMed, Scopus, Web of Science, Embase, and Google Scholar, covering studies published up to July 2025. Relevant keywords - such as "artificial intelligence," "machine learning," "clinical pharmacy," "hospital pharmacy," "medication management," and "decision support systems" - were used to identify studies assessing the applications, challenges, and outcomes of AI in these contexts. All eligible articles were narratively analyzed. The findings indicated that AI has a significant role in optimizing pharmaceutical inventory management, reducing medication errors, enhancing the accuracy and safety of drug dispensing, and streamlining drug distribution processes in hospital environments. Advancements in machine learning algorithms and clinical decision support systems not only assist pharmacists in selecting optimal therapeutic regimens and detecting drug-drug interactions but also facilitate the delivery of personalized patient care and prediction of medication needs. In addition, AI integration was shown to improve workflow efficiency, reduce administrative workload, and enhance both pharmacist training and job satisfaction. In conclusion, the integration of AI into clinical pharmacy and hospital settings emerges as a transformative factor, promising to elevate the quality of pharmaceutical care, improve patient outcomes, and shape a more dynamic and efficient future for the pharmacy profession.