Cited by 80Artificial Intelligence in Healthcare and EducationInnovations in Medical EducationArtificial Intelligence in Education

International pharmacy students' perceptions towards artificial intelligence in medicine—A multinational, multicentre cross‐sectional study

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Busch, Felix, Hoffmann, Lena, Truhn, Daniel, Palaian, Subish, Alomar, Muaed, Shpati, Kleva, Makowski, Marcus Richard, Bressem, Keno Kyrill +1 more·2024·British Journal of Clinical Pharmacology

Abstract

Aims: To explore international undergraduate pharmacy students' views on integrating artificial intelligence (AI) into pharmacy education and practice. Methods: This cross‐sectional institutional review board‐approved multinational, multicentre study comprised an anonymous online survey of 14 multiple‐choice items to assess pharmacy students' preferences for AI events in the pharmacy curriculum, the current state of AI education, and students' AI knowledge and attitudes towards using AI in the pharmacy profession, supplemented by 8 demographic queries. Subgroup analyses were performed considering sex, study year, tech‐savviness, and prior AI knowledge and AI events in the curriculum using the Mann–Whitney U ‐test. Variances were reported for responses in Likert scale format. Results: The survey gathered 387 pharmacy student opinions across 16 faculties and 12 countries. Students showed predominantly positive attitudes towards AI in medicine (58%, n = 225) and expressed a strong desire for more AI education (72%, n = 276). However, they reported limited general knowledge of AI (63%, n = 242) and felt inadequately prepared to use AI in their future careers (51%, n = 197). Male students showed more positive attitudes towards increasing efficiency through AI ( P = .011), while tech‐savvy and advanced‐year students expressed heightened concerns about potential legal and ethical issues related to AI ( P < .001/ P = .025, respectively). Students who had AI courses as part of their studies reported better AI knowledge ( P < .001) and felt more prepared to apply it professionally ( P < .001). Conclusions: Our findings underline the generally positive attitude of international pharmacy students towards AI application in medicine and highlight the necessity for a greater emphasis on AI education within pharmacy curricula.

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Authors
Busch, F., Hoffmann, L., Truhn, D., Palaian, S., Alomar, M., Shpati, K., Makowski, M. R., Bressem, K. K., & Adams, L. C.
Affiliations
  • Humboldt-Universität zu Berlin (DE)
  • Universitätsklinikum Aachen (DE)
  • Ajman University (AE)
  • Albanian University (AL)
  • Technical University of Munich (DE)
Corresponding author
Busch, Felix
Venue
British Journal of Clinical Pharmacology
Publisher
Wiley
Published
2023-10-06
Volume
90
Issue
3
Pages
649-661
ISSN
  • 0306-5251 (ISSN-L)
  • 1365-2125
OpenAlex
W4386878026
Cited by
80
References
43
Citations by year
2026: 26 · 2025: 31 · 2024: 21 · 2023: 1 · 2022: 1
FWCI
3.15
Type
journal article
Language
en
Open access
Locations
  • British Journal of Clinical Pharmacology (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • RWTH Publications (RWTH Aachen) (publishedVersion, other-oa)
  • Refubium (Universitätsbibliothek der Freien Universität Berlin) (submittedVersion, cc-by-nc)
  • mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
  • Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver
  • RWTH Publications (RWTH Aachen)
Funders
Charité – Universitätsmedizin Berlin
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
Keywords
artificial intelligence, pharmacy education, pharmacy students, student attitudes, AI knowledge, AI curriculum, artificial intelligence in healthcare, AI ethics, international students
MeSH terms
Artificial Intelligence, Cross-Sectional Studies, Curriculum, Humans, Male, Surveys and Questionnaires, Students, Pharmacy

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