Cross-sectional study assesses community pharmacists' preferences and attitudes on AI tools, suggesting barriers to implementation.
Background There have been advances in healthcare technologies in general and in the pharmacy field in particular. Among the most promising is Artificial Intelligence (AI), which has the potential to advance pharmacy practice. The current study was conducted to assess community pharmacists’ attitudes and preferences regarding AI-enabled tools in their day-to-day practice and factors affecting them. Methods This study used a cross-sectional self-administered questionnaire. It was conducted in community pharmacies across the Aseer region. A total of 117 community pharmacists were recruited using a non-probability convenience sampling method. The data collection tool was adapted from a previous study. It collected data related to participants’ demographics and their attitudes towards AI-enabled tools in their practice. Results A total of 85.5% of the participants had internet access, and 83.8% of them had access to scientific drug information resources. In addition, 81.2% of the participants reported prior awareness of AI. Among those, about half of the participants reported sufficient knowledge of AI (51.6%). A total of 58.9% of them did not think that AI would replace pharmacists in the health care system. However, 71.6% of the pharmacists thought that AI would reduce errors in medical practice. Pharmacists showed preference for using AI in medical data collection, identifying drug-related problems, and medication dispensing. Discussion and conclusion Community pharmacists in the Aseer region showed moderate awareness, cautious attitudes, and selective preferences toward AI implementation in pharmacy practice. While pharmacists recognized the potential benefits of AI, limited knowledge and varying levels of digital infrastructure may influence its adoption. These findings highlight the importance of integrating AI education into pharmacy training programs, providing continuing professional development opportunities, and improving digital infrastructure to facilitate the effective implementation of AI technologies in community pharmacy practice.
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Khaled et al. (2026) studied this question.
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