Overview:

While one could find a rich literature on various aspects of discrete event simulation (DES), it is typically presented in a format which is difficult to use or replicate by a layman.

One should attend this webinar because it is focused on examples from real hospital practice, not the fictitious examples. All presented examples are illustrated using powerful DES software ProcessModel by the instructor with years of hospital experience as a lead simulation consultant. His experience, in particular with DES, was presented in his widely cited book worldwide:

Kolker, A.,"Healthcare Management Engineering in Action?", 2nd Ed., Springer Nature, NY, 2024. The 1st Edition of this book was used as a main text for the training course by the National Health System, the UK, as well as by the Lubar School of business at the University of Wisconsin-Milwaukee for the graduate course on Healthcare delivery system and data analytics.

Why you should Attend:
Discrete event simulation (DES) is the most powerful methodology used in process data analytics/Operation Research. The following examples will be covered:

• Outpatient Clinic: Centralized or Separate Locations?
• Outpatient Clinic: Non- Steady-State Operations
• Outpatient Clinic: Limited Queue Size With Leaving ‘Inpatient’ Patients
• Outpatient Clinic: Time-Varying Arrival Rates
• Separate or Interchangeable (Shared) Operating Rooms for Competing Emergency and Scheduled Surgeries, and Some Others

• The Concept of Simulation and Its Use in Healthcare Services
• Demonstrating Manually a Simple Discrete Event Simulation Model: Step-By-Step
• Reviewing Components of a Simulation Model
• Demonstrating Simulation Models for Capacity Analysis, Patient Flow and Supply and Demand in Healthcare Settings
• Applying Des to Queuing Examples Considered in the Previous Webinar as Well as Presenting Other Examples Beyond the Capability of Analytic Queuing Theory

• Quality Engineers/Analysts
• Nursing Managers
• Chief Nursing Officers
• Directors and VP