Impact of an AI-Powered Hospital Command Center on Patient Flow and Operational Efficiency
4/10/2025 • NEJM Catalyst Innovations in Care Delivery • License: CC BY-NC
Chen, L.
Abstract
This quality improvement study reports on the implementation of an AI-driven command center to manage hospital operations. Over a 12-month period post-implementation, the hospital saw a 0.8-day reduction in average patient length of stay, a 25% decrease in emergency department wait times, and a 15% reduction in ambulance diversion events. The system uses predictive analytics to forecast demand and identify operational bottlenecks in real time.
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Clinical implications
A hospital that implemented an AI 'command center' to predict patient volumes and manage bed capacity was able to discharge patients faster, reduce ER wait times, and avoid turning away ambulances. This improved overall hospital efficiency and the patient experience.
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