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What happens when a clinic’s day does not go to plan?

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Explore Radiology Lab.

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Start in Learn.

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Three step by step lessons introduce Monte Carlo simulation.

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Make a prediction, run one thousand

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possible days, and answer a question.

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Repeated random inputs reveal patterns that a single day can hide.

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Now try Reduce the wait.

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Predict what longer bookings will do, then

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test the same patients under both policies.

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Waiting falls, but fewer requested exams fit into the diary.

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Compare completed exams, unbooked requests, and overtime.

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A better result depends on which tradeoffs you can accept.

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The debrief explains what improved, what

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it cost, and how the schedule changed.

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Save the evidence in your experiment notebook.

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Your prediction and results stay attached to that run.

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Write your conclusion, then choose one thing to test next.

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In Simulate, test equipment downtime.

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Set an outage chance and recovery time.

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See an interrupted exam pause and resume, while later appointments
queue.

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Explore walk ins and staffing.

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Change practice size, demand, and staff coverage.

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Compare the same workload to see what helps.

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Search booking policies, then recheck finalists on fresh days.

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More simulated days reduce sampling noise;

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they do not validate your assumptions.

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Start with a lesson.

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Make a prediction.

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Test the possibilities.