Evidence map›Paper›PMID 42125247›Full record

ArticlePeerJ2026

Navigating the future-community pharmacists' attitudes towards AI integration in pharmacy services: a cross-sectional study in Aseer, Saudi Arabia.

Arwa Khaled, Dalia Almaghaslah, Khalid Orayj, Ayesha Siddiqua, Geetha Kandasamy, Naglaa Samir Bazan

Abstract read
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Arwa KhaledDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Aseer Region, Saudi Arabia.
Dalia AlmaghaslahDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Aseer Region, Saudi Arabia.
Khalid OrayjDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Aseer Region, Saudi Arabia.
Ayesha SiddiquaDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Aseer Region, Saudi Arabia.
Geetha KandasamyDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Aseer Region, Saudi Arabia.
Naglaa Samir BazanDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Aseer Region, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There have been advances in healthcare technologies in general and in the pharmacy field in particular. Among the most promising is Artificial Intelligence (AI), which has the potential to advance pharmacy practice. The current study was conducted to assess community pharmacists' attitudes and preferences regarding AI-enabled tools in their day-to-day practice and factors affecting them. Methods: This study used a cross-sectional self-administered questionnaire. It was conducted in community pharmacies across the Aseer region. A total of 117 community pharmacists were recruited using a non-probability convenience sampling method. The data collection tool was adapted from a previous study. It collected data related to participants' demographics and their attitudes towards AI-enabled tools in their practice. Results: A total of 85.5% of the participants had internet access, and 83.8% of them had access to scientific drug information resources. In addition, 81.2% of the participants reported prior awareness of AI. Among those, about half of the participants reported sufficient knowledge of AI (51.6%). A total of 58.9% of them did not think that AI would replace pharmacists in the health care system. However, 71.6% of the pharmacists thought that AI would reduce errors in medical practice. Pharmacists showed preference for using AI in medical data collection, identifying drug-related problems, and medication dispensing. Discussion and conclusion: Community pharmacists in the Aseer region showed moderate awareness, cautious attitudes, and selective preferences toward AI implementation in pharmacy practice. While pharmacists recognized the potential benefits of AI, limited knowledge and varying levels of digital infrastructure may influence its adoption. These findings highlight the importance of integrating AI education into pharmacy training programs, providing continuing professional development opportunities, and improving digital infrastructure to facilitate the effective implementation of AI technologies in community pharmacy practice.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelCommunity Pharmacy ServicesPharmacistsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSaudi ArabiaSurveys and QuestionnairesYoung AdultArtificial intelligenceCommunity pharmacistPharmacy practice

Identifiers

PMID42125247
PMCPMC13159730

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LicenceCC BY
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Registered trials

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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.