Tutorvo

Overbooking a Session with the Binomial Distribution

Lesson 6 of 817 minLab

This lesson is part of the course

In this lesson

You model a 20-slot session booked with 20 to 25 patients: expected arrivals, the probability that more patients arrive than there are slots, the idle slots left over, and the largest number of bookings within the accepted risk.

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Lessons in this course

  1. Session Templates: From Clinician Hours to Bookable SlotsLab14 min Locked
  2. Demand vs Capacity: Utilisation, Unmet Requests & a Growing BacklogLab15 min Locked
  3. Third Next Available Appointment & Referral Waiting TimesLab15 min Locked
  4. Clearing a Waiting List: Weeks to Clear, Extra Sessions & Little's LawLab16 min Locked
  5. No-Shows by Booking Lead Time and RemindersLab16 min Locked
  6. Overbooking a Session with the Binomial DistributionLab17 min Locked
  7. Patient Flow: Waiting-Room Time, Cycle Time & Start DelaysLab16 min Locked
  8. Access Dashboard: Weekly KPIs, Red-Amber-Green Status & a Trend ChartLab18 min Locked