Alexander Kolker
Expert in Healthcare Management Science, Operations Research, Business Analytics and Operations Management,Alexander Kolker 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).
Healthcare Data Analytics: Methods of Matching Scarce Resources with uncertain Patient Demand: Introduction into the Queuing Analytic Models in Healthcare Settings
Waiting lines in healthcare are everywhere. Queuing theory is one of the main tools of Data Analytics/Operations Research. It is a quantitative approach to the analysis of the properties of waiting for lines (queues) when patients’ arrival (demand for service) and service time (supply) are random values. A set of examples from real hospital practice (the radiology department, Froedtert Hospital, WI) and an outpatient clinic with a different number of servers will be presented.
- Alexander Kolker
- Recorded
- Duration: 90 Minutes
- Price: ¤199.00
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Comparative Productivity in Healthcare: Using Data Envelopment Analysis to Measure Efficiency with Multiple Inputs and Outputs
Data envelopment analysis (DEA) is a technique that is used to measure the multiple dimensions of performance (efficiency) of producing units. DEA allows the use of multiple inputs and outputs to develop a single efficiency score to measure comparative efficiency (performance) of hospitals, physicians, group practices.
- Alexander Kolker
- Recorded
- Duration: 90 Minutes
- Price: ¤199.00
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Queuing Models in Healthcare Analytics: Strategies for Efficient Resource Allocation Amid Uncertain Patient Demand
Waiting lines in healthcare are everywhere. Queuing theory is one of the widely used tools of Data Analytics/Operations Research.
- Alexander Kolker
- Recorded
- Duration: 90 Minutes
- Price: ¤199.00
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Discrete Event Simulation in Healthcare: Balancing Dynamic Supply and Demand for Improved Capacity Management
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.
- Alexander Kolker
- Recorded
- Duration: 90 Minutes
- Price: ¤199.00
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