Evidence map›Paper›PMID 40125532›Full record

ArticleIntegrated pharmacy research & practice2025

Integrating ChatGPT as a Tool in Pharmacy Practice: A Cross-Sectional Exploration Among Pharmacists in Saudi Arabia.

Abdulrahman Alghitran, Hind M AlOsaimi, Ahmad Albuluwi, Emad Omar Almalki, Abdullah Zohair Aldowayan, Rakan Alharthi, Jawad Mohammed Qattan, Fahd Alghamdi, Mohammed AlHalabi, Nawaf Ayed Almalki and 3 more

Abstract read
In one paragraph

Article in Integrated pharmacy research & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

13 authors.

Abdulrahman AlghitranA General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, Saudi Arabia.
Hind M AlOsaimiDepartment of Pharmacy Services Administration, King Fahad Medical City, Riyadh Second Health Cluster, Riyadh, Saudi Arabia.
Ahmad AlbuluwiA General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, Saudi Arabia.
Emad Omar AlmalkiCollege of Pharmacy, Taif University, Taif, 26513, Saudi Arabia.
Abdullah Zohair AldowayanCollege of Pharmacy, Taif University, Taif, 26513, Saudi Arabia.
Rakan AlharthiCollege of Pharmacy, Taif University, Taif, 26513, Saudi Arabia.
Jawad Mohammed QattanCollege of Pharmacy, Taif University, Taif, 26513, Saudi Arabia.
Fahd AlghamdiCollege of Pharmacy, Taif University, Taif, 26513, Saudi Arabia.
Mohammed AlHalabiCollege of Pharmacy, Taif University, Taif, 26513, Saudi Arabia.
Nawaf Ayed AlmalkiCollege of Pharmacy, Taif University, Taif, 26513, Saudi Arabia.
Abdulaziz AlharthiCollege of Pharmacy, Taif University, Taif, 26513, Saudi Arabia.
Asma AlshammariDepartment of Pharmaceutical Care, King Abdulaziz Medical City, Riyadh, Saudi Arabia.
Muhammad KananDepartment of Pharmacy Services Administration, Rafha General Hospital, Northern Border Cluster, Saudi Arabia.ORCID 0000-0001-6687-0461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Artificial Intelligence (AI), especially ChatGPT, is rapidly assimilating into healthcare, providing significant advantages in pharmacy practice, such as improved clinical decision-making, patient counselling, and drug information management. The adoption of AI tools is heavily contingent upon pharmacy practitioners' knowledge, attitudes, and practices (KAP). This study sought to evaluate the knowledge and practices of pharmacists in Saudi Arabia concerning the utilization of ChatGPT in their daily activities. Patients and Methods: A cross-sectional study was performed from May 2023 to July 2024 including pharmacists in Riyadh, Saudi Arabia. An online pre-validated KAP questionnaire was disseminated, collecting data on demographics, knowledge, attitudes, and practices about ChatGPT. Descriptive statistics and regression analyses were conducted using SPSS. Results: Of 1022 respondents, 78.7% were familiar with AI in pharmacy, while 90.1% correctly identified ChatGPT as an advanced AI chatbot. Positive attitudes towards ChatGPT were reported by 64.1% of pharmacists, although only 24.3% used AI tools regularly. Significant predictors of positive attitudes and practices included academic/research roles (β=0.7, p=0.005) and 6-10 years of experience (β=0.9, p=0.05). Ethical concerns were raised by 64% of respondents, and 92% reported a lack of formal training. Conclusion: While the majority of pharmacists held positive attitudes toward ChatGPT, practical implementation remains limited due to ethical concerns and inadequate training. Addressing these barriers is essential for successful AI integration in pharmacy, supporting Saudi Arabia's Vision 2030 initiative.

Indexed as

artificial intelligencehealthcarepharmaceutical caresurvey studytechnology adoption

Identifiers

PMID40125532
PMCPMC11927492

What OpenQuestion holds

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LicenceCC BY-NC
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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.