ArticleJournal of nursing management2024
Optimizing Nursing Productivity: Exploring the Role of Artificial Intelligence, Technology Integration, Competencies, and Leadership.
Article in Journal of nursing management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- The Association Between Perceived Ability to Use Artificial Intelligence, Self-Reported Nursing Productivity, and Self-Reported Practice Readiness Among Nurses in Saudi Arabia: A Multicentre Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Validity and Reliability of the Medical Artificial Intelligence Readiness Scale, Korean Version: A Methodological and Cross-Sectional Study.Nursing & health sciences · 2026Article
- Nurse Leadership and Artificial Intelligence Integration in Nursing Workforce Management: A Scoping Review.Journal of advanced nursing · 2026Article
- Artificial Intelligence in Public Health Education: A Scoping Review of Workforce Competency Development.Health science reports · 2026Article
- Bibliometric Mapping of 40 Years of AI in Nursing: Trends, Collaborations, and Research Hotspots Worldwide.Journal of nursing management · 2026Review
- Cross-Cultural Applicability and Application of the Nursing Leaders' Readiness for Artificial Intelligence Scale: A Cross-Sectional Study.Journal of nursing management · 2026Article
- Value Co-Creation Between Nurses and Generative Artificial Intelligence: A Grounded Theory Study.Journal of nursing management · 2026Article
- When and How Head Nurses' Ethical Leadership Shapes Nurses' Creative Patient Service: The Roles of Ethical Generative AI Usage and AI Compatibility.Journal of nursing management · 2026Article
- Exploring nurse perspectives on AI-based shift scheduling for fairness, transparency, and work-life balance.BMC nursing · 2025Article
- Development and psychometric evaluation of the artificial intelligence attitude scale for nurses.BMC nursing · 2025Article
- Empowering nurse leaders: readiness for AI integration and the perceived benefits of predictive analytics.BMC nursing · 2025Article
- Improving Nursing Team Collaboration Through Nurses' Digital Literacy: A Variable-Centered and Person-Centered Perspective.Journal of nursing management · 2025Article
- The Relationship Between Perceived Digital Skills and Team Effectiveness Among Nurses in Saudi Governmental Hospitals: A Cross-Sectional Study.SAGE open nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In the rapidly evolving healthcare management landscape, technology integration and artificial intelligence utilization play pivotal roles in shaping employee productivity. This research investigates these dynamics within Riyadh Province, Kingdom of Saudi Arabia, focusing on the relationships between technology integration, the use of artificial intelligence in nursing profession, nursing workforce competencies, technological leadership, and employee productivity. Methods: A quantitative approach was employed, involving 329 nurses from five hospitals in Riyadh Province. Partial Least Squares Structural Equation Modeling facilitated comprehensive analysis of direct and indirect relationships among variables. Results: Findings reveal that technology integration significantly enhances nursing productivity, while the use of artificial intelligence initially presents disruptions before yielding productivity gains. Nursing workforce competencies mediate these relationships, emphasizing the critical role of workforce readiness in harnessing technology's benefits. Surprisingly, technological leadership did not significantly moderate these effects. Conclusions: This research offers vital insights for healthcare organizations, advocating strategic technology integration and workforce development. It underscores the significance of nursing competencies in navigating technological transformations and affirms the enduring importance of leadership in guiding these changes. As healthcare evolves, these findings provide guidance for optimizing technology and artificial intelligence to enhance employee productivity and patient care.
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What Socratic holds
Registered trials
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 Socratic graph.