Simulate each hospital's cancer pathway as a queue to find and remove the waits

Discrete-event simulation and queueing analysis are standard in manufacturing and logistics but rarely applied to cancer diagnostic pathways, where a mismatch between weekly clinic capacity and scanner slots can create long waits that no single department sees. A reusable model fed by routine timestamp data would locate the binding constraint per pathway and quantify the effect of interventions before they are made.