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Healthcare Analytics: Introduction to Discrete Event Simulation Methodology (DES). Part 2. Staffing & Scheduling Problems
- Scheduling order for appointments with different duration variability. Is 30 min +60 min always equal to 60 min +30 min?
- Centralized discharge vs. individual unit discharge
- Staffing of the hospital receiving center
- Outpatient clinic cost and staffing: Is right staff used at the right time?
- Analysis of the optimal staffing for improving the Eye Institute performance: A case study of the Eye Institute.
Overview of the webinar
- What is discrete event simulation modelling for resource utilization and staffing & scheduling problems
- Why and when to use simulation modelling for resource utilization and staffing & scheduling problems
- Input information required by a typical simulation model for resource utilization and staffing & scheduling problems
- Why discrete event simulation is the most powerful methodology for analysis in healthcare settings
- Summary of some fundamental management principles in healthcare settings
Who should attend?
Quality engineers/analysts, Nursing Managers, Chief Nursing Officers, Directors and VP of quality and operations improvements of healthcare organizations interested in learning practical methods of data analytics.
Why should you attend?
This webinar is a continuation of the previous webinar: DES, Part 1, and is closely related to it. It is highly recommended to attend the previous webinar: DES, Part 1. The focus of this webinar is DES application for resource utilization and staffing & scheduling problems for highly variable random processes typical in healthcare settings.
You should attend this webinar if you are interested in learning real life examples of application of the discrete event simulation methodology for resource utilization and staffing & scheduling problems in healthcare settings.
Faculty - Mr.Alexander Kolker
Alexander Kolker holds a Ph.D. in applied mathematics and statistics. He is an expert in advanced data analytics for operations management, computer simulation modelling 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)-Midland & Lancashire.
Alexander has also completed four business consulting projects using simulation modelling for the optimal staffing and capacity analysis for: Boston Consulting Group, Children’s Hospital of Wisconsin, Ohio Hospital Association, and US Bank Corporation.