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 the 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 with more than 10,000 sales worldwide: Kolker, A., “Healthcare Management Engineering: What does this fancy word really mean?” SpringerBriefs, NY, 2012. 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 data analytics/OR. 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
Areas Covered in the Session:
- 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 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
