Explore discipline-specific waitlists using referral, start-capacity and cancellation refill assumptions.
How to use this tool
Use this therapy waitlist simulator to compare aggregate weekly demand, new starts and cancellation recovery by discipline.
Set the planning period and enter the starting queue for each discipline.
Enter weekly arrivals, start capacity, completions, cancellations and refill success using the field units.
Compare the simulated weekly queues and export the assumptions with the results.
Fictional example and how to read the result
Fictional example: 10 cancelled visits with 40% refill success means 4 visits recovered. Recovered visits and sustained new starts are different inputs.
The scenario describes an aggregate queue. It cannot predict an individual wait, clinical priority or future referral demand.
Explore cancellation recovery and queue size
Use aggregate referral demand, open starts, completions, cancellations and refill success to explore a weekly scenario. The simulation keeps disciplines separate and limits new starts to available demand.
Adjust arrivals and capacity for the planning period.
Use observed refill success and distinguish one-off visits from sustained starts.
The model does not predict an individual’s wait or determine clinical priority.
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