Our Partners
SiMLQ makes process optimization easy
Our patented technology uses Simulation, Machine Learning, and Queueing Theory to create data-driven simulations that empower Emergency Department managers like you to seamlessly compare process performance measures and make informed and confident decisions on:
We tackle challenges in managing highly uncertain emergency departments
Resource Management
How can we relieve system bottlenecks by improving the usage of existing resources?
Customer Experience
How can we reduce wait times for different patient types to enhance service quality?
Process Improvement
What impacts can be expected from actions taken to improve current processes?
Harness the power of actionable insights to drive exceptional outcomes
Innovate Hybrid Analysis
Automated network learning utilizing a unique hybrid approach that combines queue mining and machine learning techniques
Resouces and Queue Insight
Effectively approximates system load even with minimal or missing resource and queueing information.
Adaptive Data Handling
Flexible intake of contextual attributes.
Digital Twin Simulation
Enables digital twin simulations for comparative analysis of system changes.
Proven Real-world Success
Successfully tested on real-world hospital and cloud computing data.
Data-driven Scalable Simulation
Leveraging extensive data to create highly adaptable process models, ensuring simulations accurately reflect real-world dynamics.