2012, 2012, XIX, 121 p. 26 illus., 20 in color.

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A. Kolker, Children’s Hospital and Health System, Milwaukee, WI, USA

Healthcare Management Engineering: What Does This FancyTerm Really Mean?The Use of Operations Management Methodology for Quantitative Decision-Making inHealthcare Settings

▶ Provides multiple concrete examples of applications managementengineering/operations research methodology

This Briefs Series book illustrates in depth a concept of healthcare managementengineering and its domain for hospital and clinic operations. Predictive and analyticdecision-making power of management engineering methodology is systematicallycompared to traditional management reasoning by applying both side by side to analyze26 concrete operational management problems adapted from hospital and clinic practice.The problem types include: clinic, bed and operating rooms capacity; patient flow; staffingand scheduling; resource allocation and optimization; forecasting of patient volumes andseasonal variability; business intelligence and data mining; and game theory applicationfor allocating cost savings between cooperating providers.            Detailed examples of applications are provided for quantitative methods such asdiscrete event simulation, queuing analytic theory, linear and probabilistic optimization,forecasting of a time series, principal component decomposition of a data set and clusteranalysis, and the Shapley value for fair gain sharing between cooperating participants. Asummary of some fundamental management engineering principles is provided.            The goal of the book is to help to bridge the gap in mutual understanding andcommunication between management engineering professionals and hospital and clinicadministrators.            The book is intended primarily for hospital/clinic leadership who are in charge ofmaking managerial decisions. This book can also serve as a compendium of introductoryproblems/projects for graduate students in Healthcare Management and Administration,as well as for MBA programs with an emphasis in Healthcare. 

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