SpringerBriefs in Health Care Management and Economics

Healthcare Management Engineering: What Does This Fancy Term Really Mean?

The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings

Authors: Kolker, Alexander

  • Provides multiple concrete examples of applications management engineering/operations research methodology

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eBook $34.99
price for USA (gross)
  • ISBN 978-1-4614-2068-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-1-4614-2067-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

This Briefs Series book illustrates in depth a concept of healthcare management engineering and its domain for hospital and clinic operations. Predictive and analytic decision-making power of management engineering methodology is systematically compared to traditional management reasoning by applying both side by side to analyze 26 concrete operational management problems adapted from hospital and clinic practice. The problem types include: clinic, bed and operating rooms capacity; patient flow; staffing and scheduling; resource allocation and optimization; forecasting of patient volumes and seasonal variability; business intelligence and data mining; and game theory application for allocating cost savings between cooperating providers.

            Detailed examples of applications are provided for quantitative methods such as discrete event simulation, queuing analytic theory, linear and probabilistic optimization, forecasting of a time series, principal component decomposition of a data set and cluster analysis, and the Shapley value for fair gain sharing between cooperating participants. A summary of some fundamental management engineering principles is provided.

            The goal of the book is to help to bridge the gap in mutual understanding and communication between management engineering professionals and hospital and clinic administrators.

            The book is intended primarily for hospital/clinic leadership who are in charge of making managerial decisions. This book can also serve as a compendium of introductory problems/projects for graduate students in Healthcare Management and Administration, as well as for MBA programs with an emphasis in Healthcare. 

Table of contents (8 chapters)

  • Traditional Management and Management Engineering

    Kolker, Alexander

    Pages 1-2

  • Dynamic Supply and Demand Balance Problems

    Kolker, Alexander

    Pages 3-52

  • Linear and Probabilistic Resource Optimization and Allocation Problems

    Kolker, Alexander

    Pages 53-77

  • Forecasting Time Series

    Kolker, Alexander

    Pages 79-90

  • Business Intelligence and Data Mining

    Kolker, Alexander

    Pages 91-101

Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-1-4614-2068-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-1-4614-2067-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Healthcare Management Engineering: What Does This Fancy Term Really Mean?
Book Subtitle
The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings
Authors
Series Title
SpringerBriefs in Health Care Management and Economics
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Alexander Kolker
eBook ISBN
978-1-4614-2068-2
DOI
10.1007/978-1-4614-2068-2
Softcover ISBN
978-1-4614-2067-5
Series ISSN
2193-1704
Edition Number
1
Number of Pages
XIX, 121
Number of Illustrations and Tables
6 b/w illustrations, 20 illustrations in colour
Topics