Evidence map›Paper›PMID 42558989›Full record

ArticleDigital health

Perspectives on the use and implementation of artificial intelligence in pharmacy education and training: Views of faculty, PharmD students, and pharmacists in Saudi Arabia.

Alaa A Alsharif, Nada Alsaleh, Ghadah H Alshehri, Hayam Ali AlRasheed, Dalya Ramzi Daghastani, Shaden Sager Alotaibi, Lama Awadh Alasmari, Razan Hussain AlGhamdi, Abdallah Y Naser

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alaa A AlsharifDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Nada AlsalehDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Ghadah H AlshehriDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Hayam Ali AlRasheedDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Dalya Ramzi DaghastaniDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Shaden Sager AlotaibiDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Lama Awadh AlasmariDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Razan Hussain AlGhamdiDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Abdallah Y NaserDepartment of Applied Pharmaceutical Sciences and Clinical Pharmacy, Faculty of Pharmacy, Isra University, Amman, Jordan.ORCID https://orcid.org/0000-0001-8440-7446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) offers new approaches to addressing challenges in educational learning and teaching processes. This study aims to investigate perspectives on the use and implementation of AI in pharmacy education and training among pharmacy faculty, students, and practitioners in Saudi Arabia. Methods: This is an online cross-sectional survey study that was conducted in Saudi Arabia between October and December 2024. Results: The majority of respondents, including faculty, practitioners, and students, reported at least moderate familiarity with AI. Of the respondents, 56.4% of faculty, 66.7% of practitioners, and 92.3% of students reported some or high familiarity. Generative AI tools were the most frequently employed, as reported by 65.5% of faculty, 59.3% of practitioners, and 49.5% of students. AI use was widespread. The majority of faculty and students expressed a strong or very strong agreement that AI has the potential to enhance pharmacy education. Improved levels of participation, real-world scenario modeling, decreased levels of administrative workload, and the optimization of drug data analyses were the key perceived benefits. AI curricular adoption was supported by 78.2% of faculty, while 85.2% of practitioners endorsed AI in workforce improvement. The primary challenges were limited training regarding AI, ethical concerns, and limited access to AI tools. AI exposure was strongly correlated with an advanced level among students (adjusted odds ratio (aOR) 4.22-4.76; p<0.01), and prior exposure was associated with an increased possibility of AI use (aOR=2.45; p=0.006). Conclusion: This study indicated that most pharmacy faculty, practitioners, and students in Saudi Arabia are familiar with AI to a degree. Furthermore, most hold positive attitudes toward AI and support its integration into education and professional development. Despite these promising viewpoints, they had multiple concerns regarding AI and obstacles to its adoption.

Indexed as

Artificial intelligenceeducationpharmacistsstudentstraining

Identifiers

PMID42558989
PMCPMC13438221

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.