
Business intelligence (BI) systems are crucial to hospitals, as they enable organizations to make informed decisions through data analysis and enhance operational efficiency. BI adoption experiences barriers in Jordanian hospitals as a result of both organization-specific needs and technological limitations of their environments. This study assessed BI adoption by surveying employees at different departments in Jordanian hospitals. From January to May 2024, a total of 350 surveys were distributed, resulting in 312 valid responses collected through online and paper-based methods. The analysis involved participants from various departments, including administrative staff, clinical personnel, and IT department professionals, to gain a comprehensive understanding of BI readiness throughout the organization. The results demonstrate that technological compatibility and environmental factors are critical for successful BI adoption (p < 0.05), yet findings show organizational readiness has no direct effect (p > 0.05). Top management support has a positive effect on BI adoption, and user satisfaction serves as a critical moderating variable, positively influencing the relationship between these elements (p < 0.05). Business intelligence systems require dedicated leadership focus, along with proper technological infrastructure and active user engagement, for successful deployment. The study offers practical recommendations for hospital executives and policymakers with strategies to deploy BI using leadership initiatives plus technological integration and worker development. The establishment of digital healthcare advancement programs stands as a goal that government authorities must achieve. Furthermore, the establishment of national digital healthcare advancement programs and the expansion of cross-institutional data collection are essential in different settings.
data-driven decision-making, HF5001-6182, digital transformation, Business, hospital management, business intelligence, digital healthcare
data-driven decision-making, HF5001-6182, digital transformation, Business, hospital management, business intelligence, digital healthcare
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