Big Data Factors Toward Enhancing United Arab Emirates Drug Inventory Management System for Effective Decision-Making

Mohammed Farid Ahmed; Dr. Abdul Karim Bin Mohamad, Dr. Mohd Fairuz Iskandar



Abstract:

The study examines the impact of big data on drug inventory management systems in the UAE. Data from 297 healthcare professionals was collected using Smart PLS. The analysis revealed significant relationships between data integration, processing, quality, information sharing, effective decision-making, and the effectiveness of the drug inventory management system. Data integration, processing, and quality directly impact inventory management outcomes, while information sharing, and effective decision-making mediate the relationship. The findings emphasize the importance of integrating disparate data sources, using robust data processing techniques, ensuring data quality, fostering information sharing, and enhancing decision-making skills in drug inventory management. Practical recommendations for healthcare organizations include prioritizing data integration, implementing advanced data processing techniques, ensuring data quality, fostering information sharing, and promoting effective decision-making.

FULL TEXT PDF 1-14] DOI: 10.30566/ijo-bs/2023.09.113

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