Evidence map›Paper›PMID 42063041›Full record

ArticleBMC health services research2026

Healthcare providers' knowledge, attitudes, and practices toward integrating evidence-based practice and artificial intelligence in Saudi Arabia: a cross-sectional study.

Amani Alhazmi, Ali Mohieldin, Khursheed Muzammil, Haroon Ali, Mohammad Suhail Khan, Maha Ali, Manal Mohammed Hawash, Rasha Mohammad Alqahtani, Adam Dawria

Abstract read
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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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Amani AlhazmiDepartment of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia. Amanialhazmi@kku.edu.sa.ORCID http://orcid.org/0000-0002-4062-1640
Ali MohieldinDepartment of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Khursheed MuzammilDepartment of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Haroon AliDepartment of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Mohammad Suhail KhanDepartment of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Maha AliDepartment of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Manal Mohammed HawashDepartment of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Rasha Mohammad AlqahtaniAseer Health Cluster, Ministry of Health, Abha, Saudi Arabia.
Adam DawriaDepartment of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.

Funding

Deanship of Scientific Research, King Khalid University RGP.1/150/46
6 · The paper itself

Abstract

backgroundIntegrating evidence-based practice (EBP) with artificial intelligence (AI) has the potential to enhance healthcare quality, clinical decision-making, and system efficiency. Understanding healthcare providers' knowledge, attitudes, and practices (KAP) toward this integration is essential to inform education and implementation strategies. This study aimed to evaluate healthcare providers' knowledge, attitudes, and practices regarding the integration of EBP and AI in Saudi Arabia.

methodsA descriptive cross-sectional study was conducted between October and December 2025 among licensed healthcare providers working in governmental and private institutions across Saudi Arabia. Data was collected using a validated, self-administered questionnaire. Descriptive and inferential analyses, including chi-square tests and logistic regression, were performed using SPSS, with p < 0.05 considered statistically significant.

resultsA total of 503 healthcare professionals participated. Overall mean scores indicated moderate knowledge of AI and EBP (mean = 2.45 ± 0.72), generally positive attitudes (mean = 2.46 ± 0.69), and lower levels of practice (mean = 2.22 ± 0.75). Knowledge was significantly associated with professional role (p = 0.009), years of experience (p = 0.014), institution type (p = 0.003), and academic qualification (p < 0.001). Practice was significantly associated with years of experience (p = 0.001) and educational qualification (p = 0.027), while attitudes differed significantly only by age group (p = 0.012). Significant positive correlations were observed among KAP domains (r = 0.37-0.45, p < 0.001), with practice showing the strongest association with the overall KAP score (r = 0.90).

conclusionHealthcare providers in Saudi Arabia demonstrate moderate knowledge and positive attitudes toward integrating AI and EBP; however, practical application remains limited. Targeted training and institutional support are needed to bridge the gap between knowledge and practice and promote effective integration into routine healthcare delivery.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelEvidence-Based PracticeHealth Knowledge, Attitudes, PracticeHealth PersonnelAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSaudi ArabiaSurveys and QuestionnairesArtificial intelligenceEvidence-based practiceHealthcare providersKnowledge, attitude, and practiceSaudi Arabia

Identifiers

PMID42063041
PMCPMC13277261

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LicenceCC BY-NC-ND
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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.