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article · Matrix Science Pharma

Perceptions of Pharmacy Students Toward Artificial Intelligence in Pharmacy

2024Open accessAl-Neelain University

Abstract

Abstract Introduction: The advancement of community and clinical pharmacy services relies on the ongoing enhancement of patient care, and artificial intelligence (AI) can be a pivotal factor in this progression. Despite the growing use of AI in different areas of pharmacy, there is less awareness among pharmacy students toward this technology. Material and Methods: This study was a descriptive cross-sectional survey. A total of 100 pharmacy students from Sudan participated in the study. Data were collected through an online electronic questionnaire. The data collected included information about sociodemographics: knowledge toward AI, attitude toward AI, and satisfaction of students with the use of AI in their pharmacy practice. Results: More than two-thirds of the participants (70%) heard about AI, half of them (52%) did not know any application of AI in pharmacy, and 61% of participants were not taught about AI in medical school. On the other hand, 60% of participants did not know the application of AI in pharmacy, whereas 20% stated it can be applied to help in marketing, communications, dispensing, and manufacturing of drugs, more than half of the participants (54%) they thought that the use of AI in pharmacy is good, but that does not replace the role of the pharmacist in the field of pharmacy. There is a statistically significant association between the name of the university and the satisfaction of students with the use of AI in their pharmacy practice ( P = 0.003). Conclusion: AI entails the amalgamation of human expertise and resources with AI. As research on AI progresses, with numerous intriguing applications currently underway, some may perceive it as a necessary malevolence, even among those who view it as an adversary. Comprehensive knowledge and familiarity with AI are indispensable in all areas of pharmacy practice. Pharmacy students should receive instruction in the fundamental principles of data science and the basics of AI as part of their study, namely through a health informatics program.

Research topics

  • Artificial Intelligence in Healthcare and Education
  • Artificial Intelligence in Healthcare
  • Biomedical and Engineering Education

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DOI: 10.4103/mtsp.mtsp_9_24

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