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020 _a9783031536632
_9978-3-031-53663-2
024 7 _a10.1007/978-3-031-53663-2
_2doi
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072 7 _aKCQ
_2bicssc
072 7 _aBUS070170
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072 7 _aKCVJ
_2thema
100 1 _aKolker, Alexander.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_977280
245 1 0 _aHealthcare Management Engineering In Action
_h[electronic resource] :
_bApplying Fundamental Management Principles for Operational Decision Making in Healthcare /
_cby Alexander Kolker.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXVII, 332 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aBusiness Guides on the Go,
_x2731-4766
505 0 _aChapter 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 _aThe 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.
650 0 _aHealth services administration.
_961649
650 0 _aPublic health administration.
_973254
650 0 _aTechnological innovations.
_959244
650 1 4 _aHealth Care Management.
_967006
650 2 4 _aHealth Administration.
_973255
650 2 4 _aInnovation and Technology Management.
_966187
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031536625
776 0 8 _iPrinted edition:
_z9783031536649
830 0 _aBusiness Guides on the Go,
_x2731-4766
_968573
856 4 0 _uhttps://doi.org/10.1007/978-3-031-53663-2
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