The Impact of Artificial Intelligence and Machine Learning on Pharmacy Practice

¹Joseph Obiezu Chukwujekwu Ezeonwumelu, ²Uhama Kingsley Chukwuka, ³Ugwu Okechukwu Paul-Chima, ³Alum Esther Ugo, ⁴Ugwuanyi Anthony Chukwudi and ⁵Tambwe Patrick Rodrigue

¹Department of Clinical Pharmacy and Pharmacy Practice, Kampala International University Western Campus, Uganda.

²Department of Biochemistry, Faculty of Applied Natural Sciences, Enugu State University of Science and Technology, Nigeria.

³Department of Publication and Extension Kampala International University Uganda.

⁴Department of Microbiology Ebonyi State University Abakaliki, Nigeria.

⁵Department of Public Health Kampala International University Uganda

Email: kingsley.uhama@esut.edu.ng

ABSTRACT

This paper explores the transformative potential of artificial intelligence (AI) and machine learning (ML) within the field of pharmacy. It discusses the definitions, basics, and advancements of AI and ML, and explores their specific applications in healthcare, particularly in pharmacy practice. The integration of these technologies can enhance clinical decision-making, optimize medication management, and improve patient outcomes. However, this paper also highlights the challenges and limitations, including data privacy and security concerns. Future directions and opportunities, such as personalized medicine and pharmacovigilance, are examined to understand the evolving role of AI and ML in pharmacy. This review concludes by emphasizing the promise of these technologies to revolutionize pharmacy practice, despite the hurdles that must be overcome.

Keywords: Artificial Intelligence (AI), Machine Learning (ML), Pharmacy Practice, Healthcare Technology and Clinical Decision Support

CITE AS: Joseph Obiezu Chukwujekwu Ezeonwumelu, Uhama Kingsley Chukwuka, Ugwu Okechukwu Paul-Chima, Alum Esther Ugo, Ugwuanyi Anthony Chukwudi and Tambwe Patrick Rodrigue (2024). The Impact of Artificial Intelligence and Machine Learning on Pharmacy Practice. RESEARCH INVENTION JOURNAL OF RESEARCH IN MEDICAL SCIENCES 3(1):10-15.