Healthcare Data Analytics: Methods of Matching Scarce Resources with uncertain Patient Demand: Introduction into Discrete event Simulation Methodology (DES). Part 1. Dynamic Supply & Demand Balance and Capacity Problems

Date: Wednesday October 12, 2022

08:00 AM PDT | 11:00 AM EDT

Duration: 90 Minutes
Instructor: Alexander Kolker 
Webinar Id: 803093
8 Days Left To Register


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One Attendee
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Live + Recorded
$269 $318  
One Attendee
Live + Recorded
$599 $678  
Unlimited Attendees ?


While one could find rich literature on various aspects of discrete event simulation (DES), it is typically presented in a format that 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 fictitious examples. All presented examples are illustrated using the 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 the 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 systems 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 for emergency and scheduled surgeries and some others

Method: DES using ProcessModel simulation software. Building simple simulation models and playing various scenarios to discover and illustrate some basic management principles.

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

Who Will Benefit:
  • Nursing Managers
  • Chief Nursing Officers
  • Directors and VP of quality and operations improvements

Speaker Profile
Alexander Kolker holds a Ph.D. in applied mathematics. He is an expert in advanced data analytics for operations management, computer simulation, and staffing optimization with the main focus on healthcare applications.

Alexander is the lead editor and author of 2 books, 8 book chapters, 10 journal papers, and a speaker at 18 international conferences & webinars in the area of operations management and data analytics. As an adjunct faculty at the UW-Milwaukee Lubar School of Business, he developed and taught a graduate course Business 755-Healthcare Delivery Systems-Data Analytics. He worked 12 years for GE (General Electric) Healthcare as a Data Scientist and CT Detector design engineer, 3 years for Froedtert Hospital, the largest healthcare facility in Southern state of Wisconsin, and 5 years for Children’s Hospital of Wisconsin as a lead computer simulation and system improvement consultant.

Currently he is teaching a 12-sessions online course “Healthcare Operations Research and Management Science” for the UK, National Health System (NHS).

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