Healthcare management engineering in action: applying fundamental management principles for operational decision making in healthcare
Material type:
- 9783031536625
- 610.68 KOL
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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Indian Institute of Management LRC General Stacks | Public Policy & General Management | 610.68 KOL (Browse shelf(Opens below)) | 1 | Available | 008264 |
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Table of contents:
Table of contents (10 chapters)
Front Matter
Pages i-xxvii
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Traditional Management, Management Engineering, and Selection of a Portfolio of Projects
Alexander Kolker
Pages 1-12
Capacity and Patient Flow Problems: Solutions Using Queuing Analytics and Discrete Event Simulation
Alexander Kolker
Pages 13-98
Staffing and Scheduling Problems with Random Patient Demand: Solutions Using Discrete Event Simulation
Alexander Kolker
Pages 99-127
Staffing Problems with Random Patient Demand: Solutions Using Analytic Optimization Techniques
Alexander Kolker
Pages 129-160
Resource Allocation and Service Line Problems: Solutions Using Linear Optimization
Alexander Kolker
Pages 161-194
Staffing and Scheduling Problems with Sliding Days Off: Solutions Using Integer Linear Optimization
Alexander Kolker
Pages 195-228
Comparative Performance of Units and Organizations with Multiple Inputs and Outputs: Introduction to Data Envelopment Analysis
Alexander Kolker
Pages 229-250
Statistical Data Analytics for Decision-Making
Alexander Kolker
Pages 251-298
Allocating Cost Savings (Gains) Between Cooperating Providers: Introduction to the Concept of the Shapley Value
Alexander Kolker
Pages 299-319
Summary of Fundamental Management Principles. Concluding Remarks
Alexander Kolker
Pages 321-328
Back Matter
Pages 329-332
[https://link.springer.com/book/10.1007/978-3-031-53663-2]
The updated 2nd edition of Healthcare Management Engineering In Action 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.
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, Healthcare Management Engineering 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.
(https://link.springer.com/book/10.1007/978-3-031-53663-2)
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