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Healthcare management engineering in action = applying fundamental management principles for operational decision making in healthcare /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Healthcare management engineering in action/ by Alexander Kolker.
Reminder of title:	applying fundamental management principles for operational decision making in healthcare /
Author:	Kolker, Alexander.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xxvii, 332 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Health services administration - Decision making. -
Online resource:	https://doi.org/10.1007/978-3-031-53663-2
ISBN:	9783031536632

Healthcare management engineering in action = applying fundamental management principles for operational decision making in healthcare /
Kolker, Alexander.

Healthcare management engineering in actionapplying fundamental management principles for operational decision making in healthcare /[electronic resource] :by Alexander Kolker. - Updated and expanded second edition. - Cham :Springer Nature Switzerland :2024. - xxvii, 332 p. :ill., digital ;24 cm. - Business guides on the go,2731-4766. - Business guides on the go..

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.

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.

ISBN: 9783031536632

Standard No.: 10.1007/978-3-031-53663-2doiSubjects--Topical Terms:

616658
Health services administration
--Decision making.

LC Class. No.: RA971

Dewey Class. No.: 362.1068

Healthcare management engineering in action = applying fundamental management principles for operational decision making in healthcare /
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505 0 $a 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.
520 $a 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.
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