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

Author:

Busch Felix12ORCID,Hoffmann Lena1ORCID,Truhn Daniel3ORCID,Palaian Subish45ORCID,Alomar Muaed45ORCID,Shpati Kleva6ORCID,Makowski Marcus Richard7ORCID,Bressem Keno Kyrill1ORCID,Adams Lisa Christine7ORCID

Affiliation:

1. Department of Radiology Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin Berlin Germany

2. Department of Anesthesiology, Division of Operative Intensive Care Medicine Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin Berlin Germany

3. Department of Diagnostic and Interventional Radiology University Hospital Aachen Aachen Germany

4. Department of Clinical Sciences, College of Pharmacy and Health Sciences Ajman University Ajman United Arab Emirates

5. Center of Medical and Bio‐Allied Health Sciences Research Ajman University Ajman United Arab Emirates

6. Department of Pharmacy Albanian University Tirana Albania

7. Department of Radiology Technical University of Munich Munich Germany

Abstract

AimsTo explore international undergraduate pharmacy students' views on integrating artificial intelligence (AI) into pharmacy education and practice.MethodsThis 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.ResultsThe 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).ConclusionsOur 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.

Funder

Charité – Universitätsmedizin Berlin

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

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