ArticleDigital health
Adoption rates and knowledge of generative artificial intelligence in pharmacy practice: A comparative study in an internet-restricted country.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Artificial intelligence (AI) is rapidly reshaping healthcare, including pharmacy practice through drug interaction screening or treatment monitoring applications. In internet-restricted settings such as Syria, access to most AI-based platforms and digital tools is limited, which may hinder their adoption in community pharmacy practice. However, adoption of AI in such contexts remains largely unexplored. Objective: To evaluate the level of AI adoption among community pharmacists in Syria and compare their familiarity and openness toward AI technologies with that of pharmacy students. Methods: A total of 400 participants based in Syria were included: 200 community pharmacists and 200 pharmacy students. Data were collected through a combination of paper-based surveys (pharmacists) and online questionnaires (students). To enhance understanding, a five-slide presentation explaining basic AI concepts was made available to participants unfamiliar with the topic. Results: Nearly half of respondents (55%; Conclusion: Our findings revealed a clear coexistence of interest in and concern about AI among both community pharmacists and pharmacy students. The study underscores the importance of developing clear regulatory guidance, structured training, and context-appropriate oversight to ensure the safe integration of AI into pharmacy practice, particularly in internet-restricted settings.
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