Examples

The Examples section provides interactive notebooks that demonstrate how to configure, generate, and analyze synthetic outpatient scheduling scenarios using Medscheduler.
Each notebook highlights a distinct aspect of the simulation — from time windows and seasonality to patient flow, attendance, and custom attributes — allowing users to explore realistic variations step by step.

Use these examples as practical complements to the User Guide and API Reference to understand how parameter choices translate into observable scheduling behaviors.

• Simulation Windows and Seasonal Activity
  • Overview
  • Example 1 – Split operational periods (e.g., summer closure)
  • Example 2 – Academic hospital with mid-year reference date
  • Example 3 – Seasonal adjustment with monthly weights
• Calendar Structure and Daily Capacity
  • Overview
  • Example 1 – Weekday clinic with Saturday operation
  • Example 2 – Short-week split-shift service
  • Example 3 – Urgent care center with daily operation and weekday weighting
• Booking Dynamics and Utilization Patterns
  • Overview
  • Example 1 – Community clinic with moderate utilization (balanced system)
  • Example 2 – High-demand outpatient service (near-capacity system)
  • Example 3 – Preventive care center (long-term planning, lower utilization)
  • Summary
  • Notes
• Attendance Behavior and Rebooking Scenarios
  • Overview
  • Example 1 – Balanced outpatient attendance (default behavior)
  • Example 2 – No-rebooking system (low adaptability)
  • Example 3 – Fully adaptive scheduling (maximum rebooking)
  • Summary
• Patient Flow and Demographic Structure
  • Overview
  • Example 1 – Typical outpatient population (default behavior)
  • Example 2 – Short simulation window (inflated first attendances)
  • Example 3 – High-frequency chronic care system
  • Summary
• Appointment Timing and Daily Flow
  • Overview
  • Example 1 – Standard punctuality and consultation time
  • Appointment duration model (internal behavior)
  • Example 2 – Frequent late arrivals
  • Example 3 – High-efficiency morning clinic
  • Summary
• Adding Custom Categorical Variables
  • Overview
  • Example 1 – Uniform distribution (balanced attribute)
  • Example 2 – Normal distribution (regional variation)
  • Example 3 – Pareto distribution (dominant providers)
  • Summary