Evidence map›Paper›PMID 42399990›Full record

ArticleBMC health services research2026

Artificial intelligence integration and patient safety culture: a cross-sectional study of healthcare professionals in Riyadh, Saudi Arabia.

Amal Abuabat, Aeshah Almutairi, Noura Gazali, Salah Alshagrawi

Abstract read
In one paragraph

Article in BMC health services research, 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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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

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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

4 authors.

Amal AbuabatDepartment of Public Health, College of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia.
Aeshah AlmutairiDepartment of Public Health, College of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia.
Noura GazaliDepartment of Patient Affairs Excellence, Dallah Hospital, Riyadh, Saudi Arabia.
Salah AlshagrawiDepartment of Public Health, College of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia. sshagrawi@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis cross-sectional study investigates healthcare practitioners' perceptions of the implementation of artificial intelligence (AI) to enhance patient safety culture in Riyadh, Saudi Arabia, conducted from March to June 2025. The focus is on understanding how AI is perceived in the context of improving patient safety culture and aligning with Saudi Vision 2030 goals.

methodsThe study employed a cross-sectional design and administered self-administered online surveys via convenience sampling among healthcare practitioners across multiple healthcare settings in Riyadh. The study targeted a population including doctors, nurses, and allied health professionals. A structured questionnaire was developed to assess perceptions of AI, including key variables such as perceived AI benefits, concerns about data privacy, and the necessity of training. Descriptive statistics were computed to characterize the sample, including age, gender, and profession.

resultsFindings revealed that most participants perceived AI as supportive of patient safety through improved diagnostic accuracy, reduced medical errors, and streamlined workflows, which participants believed may contribute to a stronger patient safety culture. Descriptive analyses suggested variation in perceptions across professional groups. DISCUSSION: The study found that healthcare practitioners in Riyadh generally perceived AI as a potentially valuable tool for supporting patient safety culture, particularly through improving diagnostic accuracy and reducing errors; however, concerns about data privacy and insufficient training remain significant barriers that must be addressed to ensure effective and safe AI integration.

conclusionsThis study highlighted healthcare practitioners' positive perception of AI's role in enhancing patient safety culture in Riyadh. While AI is seen as beneficial in improving accuracy and reducing errors, challenges such as data privacy concerns and a lack of training were identified as barriers to its implementation. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelHealth PersonnelPatient SafetySafety ManagementAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedOrganizational CultureSaudi ArabiaSurveys and QuestionnairesArtificial intelligenceHealthcare practitionersPatient safetySafety cultureSaudi Arabia

Identifiers

PMID42399990
PMCPMC13625467

What OpenQuestion holds

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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.