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  • ALEXANDER KOLKER
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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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$200.00
Healthcare Data Analytics: Methods of Matching Scarce Resources with Uncertain Patient Demand, Optimized Budgeted Nursing Staffing with Random Patient Demand

 Alexander Kolker
 Recorded Webinar
 90 Minutes
Healthcare Data Analytics: Methods of Matching Scarce Resources with Uncertain Patient Demand, Optimized Budgeted Nursing Staffing with Random Patient Demand

Because of the inevitable variability of the patient census (uncertainty), the planned (budgeted) staffing is usually:     (i) either not enough to deliver proper quality of care or      (ii) is excessive, resulting in idle time for some employees and/or pay under contractual obligation for the idle time.This webinar is providing a methodology called the ‘newsvendor’ framework ..

Showing 1 to 1 of 1 (1 Pages)

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