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

Discrete event simulation (DES) is the most powerful methodology used in process data analytics/Operation Research.

Process_Model simulation software will be used to illustrate simple simulation models and playing various scenarios to illustrate some basic management principles.

The focus of this webinar is dynamic supply & demand balance and capacity problems, as well as some patient flow problems. Multiple examples of inaccurate decisions based on the average past data are illustrated (the flaw of averages).

A side by side comparison with Queuing Analytics models presented in the previous webinar will be provided. It is therefore highly recommended to attend the previous webinar: Introduction into Queuing Analytics models.

Webinar Jan 01 2026, Thursday 01:00 PM EDT 60 Minutes Intermediate Level Code: GRC0000328

  • The concept of simulation and its use in healthcare settings
  • Demonstrating manually a simple discrete event simulation model: step-by-step
  • Reviewing components of a simulation model and the required input data
  • Demonstrating simulation models for capacity analysis and supply and demand balance in healthcare settings:

            i). Outpatient clinic: centralized or separate locations?

           ii). Outpatient clinic: non- steady-state operations

          iii). Outpatient Clinic: limited queue size with leaving ‘inpatient’ patients

          iv). Outpatient Clinic: Time-varying arrival rates

           v). Separate or interchangeable (shared) operating rooms for competing emergency and scheduled surgeries, and some others

  • Applying DES to Queuing examples presented in the previous webinar as well as presenting other examples beyond the capability of analytic queuing models

Nursing Managers, Chief Nursing Officers, Directors and VP of quality and operations improvements of healthcare organizations interested in learning practical methods of data analytics for dynamic supply and demand balance and capacity problems in healthcare settings.

While one could find a rich literature on various aspects of discrete event simulation (DES) models, they are typically limited in scope and presented in a format which is difficult to use or replicate.

One should attend this webinar because it presents examples from the real hospital practice, rather than the typical fictitious textbook’s examples. All presented examples are illustrated using powerful DES software Process_Model 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?” Springer Briefs, 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.

Alexander Kolker
Alexander Kolker

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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