SiMLQ
Simulation and machine-learning platform that automatically creates digital process twins from operational data to enable predictive and prescriptive simulation for identifying bottlenecks and testing scenarios.
Used by hospitals, health systems and other high-congestion operations to reduce wait times, optimize staffing/routing/capacity, and expand access to care.
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