Alexander Kolker

Alexander KolkerAlexander Kolker is currently an Outcomes Operations Project Manager in Children’s Hospital and Health System, Milwaukee, Wisconsin. He has extensive practical expertise in quantitative methods for healthcare management, such as hospital capacity expansion planning, system-wide patient flow optimization, staffing planning, forecasting trends, and market expansion analysis. He widely applies process simulation and other advanced analytical and computer methodologies to analyze different scenarios for allocation resources that result in the most efficient operational hospital management solutions. He actively publishes in peer-reviewed journals, edits books, and speaks at the national conferences in the area of management engineering and system and process improvement in healthcare settings. He serves on the review boards of Healthcare Management Science and Journal of Medical Systems. Previously he has worked for Froedtert Memorial Lutheran Hospital, and for General Electric Co, GE Healthcare, as a simulation specialist, and reliability engineer. He can be reached at alexanderkolker@yahoo.com.

Publications

The Concept of the Shapley Value and the Cost Allocation Between Cooperating Participants
The Concept of the Shapley Value and the Cost Allocation Between Cooperating Participants
Alexander Kolker. © 2019. 16 pages.
The goal of this chapter is to illustrate two mathematical game theory concepts for allocating costs (savings) between cooperating participants, specifically in healthcare...
The Optimal Workforce Staffing Solutions With Random Patient Demand in Healthcare Settings
The Optimal Workforce Staffing Solutions With Random Patient Demand in Healthcare Settings
Alexander Kolker. © 2019. 17 pages.
Staffing planning is paramount for cost-efficient workforce management. An accurate assessment of the required staffing level for the specific time period is an integral part of...
The Concept of the Shapley Value and the Cost Allocation Between Cooperating Participants
The Concept of the Shapley Value and the Cost Allocation Between Cooperating Participants
Alexander Kolker. © 2018. 13 pages.
The goal of this chapter is to illustrate two mathematical game theory concepts for allocating costs (savings) between cooperating participants, specifically in healthcare...
The Optimal Workforce Staffing Solutions With Random Patient Demand in Healthcare Settings
The Optimal Workforce Staffing Solutions With Random Patient Demand in Healthcare Settings
Alexander Kolker. © 2018. 14 pages.
Staffing planning is paramount for cost-efficient workforce management. An accurate assessment of the required staffing level for the specific time period is an integral part of...
Game Theory for Cost Allocation in Healthcare
Game Theory for Cost Allocation in Healthcare
Alexander Kolker. © 2014. 13 pages.
Management Science for Healthcare Applications
Management Science for Healthcare Applications
Alexander Kolker. © 2014. 11 pages.
Management Engineering for Effective Healthcare Delivery: Principles and Applications
Management Engineering for Effective Healthcare Delivery: Principles and Applications
Alexander Kolker, Pierce Story. © 2012. 512 pages.
Due to massive technological and medical advances in the life sciences (molecular genetics, biology, biochemistry, etc.), modern medicine is increasingly effective in treating...
Efficient Managerial Decision-Making in Healthcare Settings: Examples and Fundamental Principles
Efficient Managerial Decision-Making in Healthcare Settings: Examples and Fundamental Principles
Alexander Kolker. © 2012. 45 pages.
Traditional managerial decision-making and management engineering methodology are discussed and applied side by side to analyze the same problems in order to illustrate and...
Queuing Theory and Discrete Events Simulation for Health Care: From Basic Processes to Complex Systems with Interdependencies
Queuing Theory and Discrete Events Simulation for Health Care: From Basic Processes to Complex Systems with Interdependencies
Alexander Kolker. © 2010. 41 pages.
This chapter describes applications of the discrete events simulation (DES) and queuing analytic (QA) theory as a means of analyzing healthcare systems. There are two objectives...
Queuing Theory and Discrete Events Simulation for Health Care: From Basic Processes to Complex Systems with Interdependencies
Queuing Theory and Discrete Events Simulation for Health Care: From Basic Processes to Complex Systems with Interdependencies
Alexander Kolker. © 2010. 42 pages.
This chapter describes applications of the discrete events simulation (DES) and queuing analytic (QA) theory as a means of analyzing healthcare systems. There are two objectives...