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Attitudes toward artificial intelligence in nursing education, research, and clinical practice: a cross-sectional survey of Iranian faculty, nurses, and students

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4Institutions déclarées
1Pays d’affiliation déclarés

Rattachement africain : ir. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare, offering opportunities to enhance accuracy, efficiency, and personalized care in nursing. However, successful integration depends on the attitudes and readiness of nursing professionals and students. Limited evidence exists on these perspectives in the Iranian context. OBJECTIVE: This study aimed to assess the attitudes of Iranian nursing groups-including faculty members, clinical nurses, and nursing students-toward the functions of artificial intelligence in education, research, and clinical practice. METHODS: A cross-sectional online survey was conducted in Iran in 2025. Data were collected using a researcher-developed, anonymous, 34-item questionnaire assessing attitudes across education, research, and clinical domains on a 5-point Likert scale. The questionnaire was distributed via email and social media networks. Of 300 distributed questionnaires, 161 valid responses were analyzed using descriptive and inferential statistics in SPSS version 25. RESULTS: The mean total attitude score was 123.14 ± 16.38 (item mean 3.62/5), indicating moderate to good overall attitudes. Attitudes were more favorable in education (30.24 ± 4.91) and research (18.88 ± 2.63) than in clinical practice (73.99 ± 10.55). Faculty members (133.39 ± 13.86) and nursing students (127.68 ± 15.15) reported significantly higher scores than clinical nurses (116.25 ± 16.19) (p < 0.001). Female participants showed more positive attitudes than males (p = 0.01). No significant associations were found with age or work experience. CONCLUSION: Iranian nursing groups exhibit generally positive attitudes toward AI, with greater acceptance in educational and research domains compared to clinical applications. Targeted training programs, particularly for clinical nurses, and integration of AI concepts into nursing curricula are recommended to address gaps and promote effective adoption in Iran's healthcare system.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Attitudes toward artificial intelligence in nursing education, research, and clinical practice: a cross-sectional survey of Iranian faculty, nurses, and students
Date Crossref
12/05/2026
Éditeur
Springer Science and Business Media LLC
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Où se fait cette recherche

  • Lorestan University of Medical Sciences pays non établi dans la notice
    Université ou école supérieure
  • Khalkhal University of Medical Sciences Department of Nursing pays non établi dans la notice
    Université ou école supérieure
  • Shahid Beheshti University of Medical Sciences pays non établi dans la notice
    Université ou école supérieure
  • Kurdistan University of Medical Sciences pays non établi dans la notice
    Université ou école supérieure
  • School of Medical Education and Learning Technologies Department of Medical Education pays non établi dans la notice
    Université ou école supérieure
  • Faculty of Medicine Health Metrics and Evaluation Research Center pays non établi dans la notice
    Université ou école supérieure

Lorestan University of Medical Sciences, Department of Nursing — Khalkhal University of Medical Sciences et Shahid Beheshti University of Medical Sciences, avec 3 autres affiliations.

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Artificial Intelligence in Healthcare and EducationSimulation-Based Education in HealthcareAI in Service Interactions

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