Intelligent Care at Scale AI-Powered Operations Transforming Hospital Efficiency
DOI:
https://doi.org/10.15662/IJEETR.2020.0203003Keywords:
Hospital Operations, Artificial Intelligence, Clinical Decision Support, Predictive Analytics, Workflow Optimization, Smart Hospitals, Healthcare AutomationAbstract
The exponential growth in patient populations, coupled with rising complexity in disease patterns and chronic conditions, has imposed unprecedented operational burdens on hospitals worldwide. Traditional healthcare systems struggle to meet the demands of real-time clinical decision support, efficient resource allocation, and low-latency care delivery. Artificial Intelligence (AI) has emerged as a transformative catalyst for hospital operations, enabling scalable clinical process automation, predictive care, intelligent triaging, precision resource planning, and continuous outcome optimization. This paper explores the impact of AI-powered operations on hospital efficiency, illustrating advancements in operational intelligence, workflow automation, supply-chain optimization, and patient journey orchestration. A hybrid system architecture model integrating machine learning, cloud data platforms, real-time streaming engines, and edge inference is presented. Through case studies and data-driven evaluation, the research highlights how AI enhances capacity utilization, reduces clinical workload, minimizes wait times, and improves the quality of patient outcomes. Finally, the article discusses security considerations, economic return on investment (ROI), and future research directions.
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