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Healthcare Management Engineering: What Does This Fancy Term Really Mean?: The Use of Operations Management Methodology for Quantitative Decision-Making ... 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 Health Care Management and Economics) [Kindle Edition]

Alexander Kolker

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Product Description

Product Description

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.

From the Back Cover

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. 


Product details

  • Format: Kindle Edition
  • File Size: 1622 KB
  • Print Length: 95 pages
  • Publisher: Springer New York; 1 edition (2 Dec 2011)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B007ELT7WU
  • Text-to-Speech: Enabled
  • X-Ray:
  • Amazon Bestsellers Rank: #755,846 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 5.0 out of 5 stars  3 reviews
3 of 3 people found the following review helpful
5.0 out of 5 stars Excellent Primer 13 Mar 2012
By Amazon Customer - Published on Amazon.com
Format:Paperback|Verified Purchase
I found this book to be an excellent primer on applying operations research (OR) to healthcare management problems. Although it may be slow going for those not already familiar with OR approaches to problem definition and solving, it is worth the slog if for no other reason than to increase one's awareness of what is possible. This book is to healthcare management what "Moneyball" is to baseball.
3 of 3 people found the following review helpful
5.0 out of 5 stars ! A most excellent text --> should become a classic ! 2 Mar 2012
By Wayne G. Fischer, PhD - Published on Amazon.com
Format:Paperback|Verified Purchase
I was thoroughly impressed and pleased by this text: impressed by how well the author achieved his stated objectives, and pleased by how much I learned by reading the book. First, Dr. Kolker's objectives:

* "...help bridge the gap in mutual understanding and communication between management engineering professionals and hospital and clinic administrators;
* "...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."

And, based on my experience, I'd add a third:

* to broaden and deepen the understanding of experienced healthcare management engineers;

and all in about 120 pages! Bravo, Dr. Kolker, bravo - and thank you!

Dr. Kolker's writing is clear and concise; his explanations in comparing and contrasting "traditional management", queuing analytic theory, and management engineering approaches to decision-making in complex situations are important yet easily understood.

The book covers five types of situations:
1. dynamic supply and demand balance (capacity, patient flow, staffing, and scheduling);
2. linear and probabilistic resource allocation and optimization (patient volumes, staffing levels, resident scheduling, optimized specimen screening, emergency department discharges);
3. forecasting future values (patient volumes, seasonal variation in hemoglobin);
4. business intelligence and data mining (principle component analysis to help plan a major market expansion, cluster analysis to help determine factors associated with margins by geographic location);
5. game theory (fair allocation of cost savings among cooperating providers - like Accountable Care Organizations).

Dr. Kolker concludes with a very nice list summarizing the fundamental management engineering principles illuminated so well in the body of his book.

If you fall into any of the intended audiences, buy this book...read it...you will benefit. Then pass it along to your supervisor or professor.
1 of 2 people found the following review helpful
5.0 out of 5 stars Per my supervisor 1 July 2013
By Alanna - Published on Amazon.com
Format:Paperback|Verified Purchase
I ordered this book for my boss at work and it was exactly what he expected it to be. Thank you!
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