Integrating Artificial Intelligence for Prediction and Optimization in Hospital Management Systems (Case study: Iranian Hospital in Dubai)
Keywords:
Artificial Intelligence (AI), Hospital Management Systems, Predictive Analytics, Operational EfficiencyAbstract
This study explores the integration of Artificial Intelligence (AI) into hospital management systems, focusing on its predictive and optimization capabilities. Using a mixed-methods approach, the research examines the impact of AI on operational efficiency, resource utilization, and patient outcomes, with a case study of the Iranian Hospital in Dubai. Quantitative analysis revealed significant improvements, including a 45% reduction in patient wait times, a 10% increase in bed occupancy rates, and a 15% reduction in operational costs. Qualitative insights highlighted enhanced decision-making, improved patient satisfaction, and challenges such as data privacy concerns and the need for staff training. The findings demonstrate AI's transformative potential in healthcare, offering actionable strategies for successful implementation. This research underscores the importance of addressing ethical and infrastructural challenges to maximize the benefits of AI, paving the way for more efficient, patient-centered healthcare systems.
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Copyright (c) 2024 Mohsen Shamsi (Author)
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