Details
Healthcare Management Engineering In Action
Applying Fundamental Management Principles for Operational Decision Making in HealthcareBusiness Guides on the Go 2nd ed. 2024
48,14 € |
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Verlag: | Springer |
Format: | |
Veröffentl.: | 23.05.2024 |
ISBN/EAN: | 9783031536632 |
Sprache: | englisch |
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Beschreibungen
<p>The updated 2nd edition of <i>Healthcare Management Engineering In Action</i> in the Business Guides on the Go series provides a comprehensive exploration of healthcare management operations. Through a systematic comparison of predictive and analytic decision-making methodologies with traditional management approaches, the book employs case studies derived from real-world hospital and clinic scenarios. It addresses a spectrum of problem encompassing patient flow, capacity management, resource allocation, staffing and scheduling, statistical data analytics, and cost distribution among cooperating providers.</p><p><br></p><div>The revised edition contains enhanced content, spotlighting key management principles vital for effective operational decision-making. The book encompasses a wide array of quantitative methods, including discrete event simulation, queuing analytic theory, linear, integer and probabilistic optimization, among others. By acting as a bridge between management engineering experts and healthcare administrators, <i>Healthcare Management Engineering</i> is an invaluable resource for hospital and clinic leadership, aiding them in their managerial roles. Furthermore, it serves as a comprehensive repository of introductory challenges and projects suitable for graduate-level students in healthcare management and administration.</div><p> </p>
Chapter 1. Traditional and Management Engineering in Operational Decision-Making.- Chapter 2. Capacity and Patient Flow Problems.- Chapter 3. Staffing and Scheduling Problems with Uncertain Patient Demand.- Chapter 4. Staffing and Resource Allocation Problems Amenable to Analytic Optimization Methods.- Chapter 5. Resource Allocation and Service Lines Problems and Linear Optimization Methodology.- Chapter 6. Staffing and Scheduling of Full-time and Part-time Employees with Sliding Mandatory Days-off for Multiple Shift Operations using Integer Linear Optimization Methodology.- Chapter 7. Comparative Efficiency of Units with Multiple Inputs and Outputs. Introduction into Data Envelopment Analysis..- Chapter 8. Advanced Multivariable Statistical Data Analysis.- Chapter 9. Introduction into the Concept of the Shapley Value.- Chapter 10. Summary of Fundamental Management Engineering Principles<br><p></p>
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<div><b><i>^ < i=""></i>^ </b></div><div><p><b><b>Alexander Kolker, Ph.D.</b>, has served as Operations Project Manager with Children's Hospital and Health System, Froedtert Hospital, Wisconsin, and as a Data Scientist at General Electric (GE) Healthcare. Dr. Kolker is the primary author of <i>Healthcare Management Engineering</i> (2012) and <i>Management Engineering for Effective Healthcare Delivery</i> (2011), and has been a frequent speaker at international conferences and webinars in healthcare operations management and data analytics. He has previously taught healthcare operations research and management science for the National Health System (NHS)-Midland & Lancashire Support Unit, UK.</b></p><b><b><b><b><b><b><b><b><b><b><b><b><b><b><b><b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></div>
<p>The updated 2nd edition of <i>Healthcare Management Engineering In Action</i> in the Business Guides on the Go series provides a comprehensive exploration of healthcare management operations. Through a systematic comparison of predictive and analytic decision-making methodologies with traditional management approaches, the book employs case studies derived from real-world hospital and clinic scenarios. It addresses a spectrum of problem encompassing patient flow, capacity management, resource allocation, staffing and scheduling, statistical data analytics, and cost distribution among cooperating providers.</p><p><br></p><div>The revised edition contains enhanced content, spotlighting key management principles vital for effective operational decision-making. The book encompasses a wide array of quantitative methods, including discrete event simulation, queuing analytic theory, linear, integer and probabilistic optimization, among others. By acting as a bridge between management engineering experts and healthcare administrators, <i>Healthcare Management Engineering</i> is an invaluable resource for hospital and clinic leadership, aiding them in their managerial roles. Furthermore, it serves as a comprehensive repository of introductory challenges and projects suitable for graduate-level students in healthcare management and administration.</div><p></p>
Compares healthcare management engineering methodology with traditional approaches Includes multiple examples adapted from hospital management and clinic practice Illustrates the broad use of management engineering in hospital operations