Learn the idea.
Test the possibilities.

Radiology Lab · One schedule. Many possible days.

What happens when a clinic’s day does not go to plan? Explore Radiology Lab.

Learn · Predict. Simulate. Understand.

Start in Learn. Three step by step lessons introduce Monte Carlo simulation. Make a prediction, run one thousand possible days, and answer a question. Repeated random inputs reveal patterns that a single day can hide.

Learn · A shorter queue. At what cost?

Now try Reduce the wait. Predict what longer bookings will do, then test the same patients under both policies. Waiting falls, but fewer requested exams fit into the diary. Compare completed exams, unbooked requests, and overtime. A better result depends on which tradeoffs you can accept.

Learn · Read the explanation. Write your conclusion.

The debrief explains what improved, what it cost, and how the schedule changed. Save the evidence in your experiment notebook. Your prediction and results stay attached to that run. Write your conclusion, then choose one thing to test next.

Simulate · What if the CT scanner goes down?

In Simulate, test equipment downtime. Set an outage chance and recovery time. See an interrupted exam pause and resume, while later appointments queue.

Simulate · A room needs a qualified team.

Explore walk ins and staffing. Change practice size, demand, and staff coverage. Compare the same workload to see what helps.

Simulate · Search policies. Check fresh days.

Search booking policies, then recheck finalists on fresh days. More simulated days reduce sampling noise; they do not validate your assumptions.

Radiology Lab · Learn the idea. Test the possibilities.

Start with a lesson. Make a prediction. Test the possibilities.