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Titlebook: Healthcare Management Engineering In Action; Applying Fundamental Alexander Kolker Book 2024Latest edition The Editor(s) (if applicable) an

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發(fā)表于 2025-3-23 09:53:27 | 只看該作者
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發(fā)表于 2025-3-23 21:18:09 | 只看該作者
Staffing Problems with Random Patient Demand: Solutions Using Analytic Optimization Techniques,zation. The problem of staffing with minimal cost of under- and overstaffing with random patient demand is presented in Sect. . using the so-called “newsvendor” framework. A somewhat related problem of PACU (post-anesthesia care unit) optimal staffing is presented in Sect. .. The issue is a highly v
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發(fā)表于 2025-3-24 00:13:40 | 只看該作者
Resource Allocation and Service Line Problems: Solutions Using Linear Optimization,onstraints can be presented as linear combinations of the decision variables. There are plenty of problems amenable to this methodology in healthcare settings. Excel solver is used for setting up and running all examples presented in this chapter. The use of the sensitivity report produced by the Ex
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發(fā)表于 2025-3-24 05:06:19 | 只看該作者
Staffing and Scheduling Problems with Sliding Days Off: Solutions Using Integer Linear Optimization linear optimization. It is preferred if the optimal solution must be expressed only as a whole (integer) set of values, such as the number of employees rather than the fractional full-time equivalent FTE values rounded off to the nearest whole numbers..The problem types included in this chapter are
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Allocating Cost Savings (Gains) Between Cooperating Providers: Introduction to the Concept of the S following two cases are considered in detail: (i) the general application of the Shapley value methodology for cost allocation between cooperating providers of care applied to the bundled payment model mandated by the Center for Medicare Services (CMS) and (ii) an important particular case in which
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