The Role of Technology-Enabled Strategic Intelligence in Improving the Efficiency of Nursing Practices: An Applied Study on Saudi Hospitals

Abstract

This study investigates the role of technology-enabled strategic intelligence (TESI) in enhancing the efficiency of nursing practices across selected government and private hospitals in Saudi Arabia. As the Kingdom continues to advance its Vision 2030 healthcare transformation agenda, the integration of digital health technologies, clinical decision support systems, and electronic health records into nursing workflows has become increasingly prominent. Drawing on a quantitative cross-sectional survey design, data were collected from 100 registered nurses practicing across six hospitals in Riyadh, Jeddah, and Dammam. Five statistical techniques — descriptive statistics, Pearson correlation, multiple linear regression, one-way ANOVA, and independent samples t-test — were applied to analyze relationships between technology adoption levels and key nursing efficiency indicators. Findings reveal a strong positive correlation between TESI adoption and nursing efficiency (r = 0.74, p < 0.001), with the regression model explaining 54.8% of variance in efficiency scores (R² = 0.548). Significant differences in efficiency were observed across experience groups (F(3,96) = 9.87, p < 0.001, η² = 0.236) and between hospital types (t(98) = 2.05, p = 0.043, d = 0.43). These results provide actionable evidence for healthcare administrators, nursing educators, and policymakers engaged in Saudi healthcare modernization.