Healthcare Management Engineering: What Does This Fancy Term Really Mean?: The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings
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 applyin...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2012
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| Ausgabe: | 1st ed. 2012 |
| Schriftenreihe: | SpringerBriefs in Health Care Management and Economics
|
| Schlagworte: | |
| Online-Zugang: | UBR01 Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 Online-Ressource (XIX, 121 Seiten 26 illus., 20 illus. in color.) |
| ISBN: | 9781461420682 |
| DOI: | 10.1007/978-1-4614-2068-2 |
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| edition | 1st ed. 2012 |
| format | Electronic eBook |
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| id | DE-604.BV047942894 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:35:40Z |
| indexdate | 2024-07-10T09:25:51Z |
| institution | BVB |
| isbn | 9781461420682 |
| language | English |
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| physical | 1 Online-Ressource (XIX, 121 Seiten 26 illus., 20 illus. in color.) |
| psigel | ZDB-2-SME ZDB-2-SME_2012 |
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| spelling | Kolker, Alexander Verfasser aut Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings by Alexander Kolker 1st ed. 2012 New York, NY Springer New York 2012 1 Online-Ressource (XIX, 121 Seiten 26 illus., 20 illus. in color.) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Health Care Management and Economics 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. Health Administration Health Care Management Biomedical Engineering and Bioengineering Health administration Health care management Health services administration Biomedical engineering Erscheint auch als Druck-Ausgabe 9781461420675 Erscheint auch als Druck-Ausgabe 9781461420699 https://doi.org/10.1007/978-1-4614-2068-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kolker, Alexander Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings Health Administration Health Care Management Biomedical Engineering and Bioengineering Health administration Health care management Health services administration Biomedical engineering |
| title | Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings |
| title_auth | Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings |
| title_exact_search | Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings |
| title_exact_search_txtP | Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings |
| title_full | Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings by Alexander Kolker |
| title_fullStr | Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings by Alexander Kolker |
| title_full_unstemmed | Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings by Alexander Kolker |
| title_short | Healthcare Management Engineering: What Does This Fancy Term Really Mean? |
| title_sort | healthcare management engineering what does this fancy term really mean the use of operations management methodology for quantitative decision making in healthcare settings |
| title_sub | The Use of Operations Management Methodology for Quantitative Decision-Making in Healthcare Settings |
| topic | Health Administration Health Care Management Biomedical Engineering and Bioengineering Health administration Health care management Health services administration Biomedical engineering |
| topic_facet | Health Administration Health Care Management Biomedical Engineering and Bioengineering Health administration Health care management Health services administration Biomedical engineering |
| url | https://doi.org/10.1007/978-1-4614-2068-2 |
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