Waitlist Capacity Simulator

What this simulator does

This tool models how a healthcare waitlist evolves over time based on demand, appointment capacity, and non-attendance (DNA) behaviour.

It is designed for service planning, policy analysis, and scenario testing. All calculations use synthetic data only.

How the model works

• Daily referrals follow a stochastic arrival process.
• Capacity is fixed per day and represents staffing constraints.
• DNAs may re-enter the system after a delay.
• Attended patients exit the queue and generate waiting-time data.

Interpreting outputs

• Flat queues indicate a stable system.
• Growing queues indicate demand > capacity.
• Cost per week saved reflects marginal workforce efficiency.