Simulate each hospital's cancer pathway as a queue to find and remove the waits
Hospitals rarely know which step, the scanner, the biopsy, the pathologist or the clinic slot, is causing the queue. Modelling the pathway like a factory line shows where a small change would remove weeks of waiting.
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.
- Fragmented care and guideline gaps · Patients fall between specialists, wait for referrals and often do not get the treatment guidelines say they should.
- Not enough oncologists, nurses, pathologists, physicists · The number of people with cancer is rising faster than the workforce trained to treat them.
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