Titlebook: Handbook of Healthcare Operations Management; Methods and Applicat Brian T. Denton Book 2013 Springer Science+Business Media New York 2013

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Simulation and Real-Time Optimised Relocation for Improving Ambulance Operations,in developing and applying software that implements these techniques. We describe a new simulation-optimization algorithm for base location. We also present a case study detailing how the software we developed was used as part of a major reorganisation of ambulance operations in Copenhagen, Denmark.

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Location Models in Healthcare,proper access to health care resources such as preventive care, treatment facilities, and emergency services is often the primary criterion decision makers use in locating such resources. Location decisions in health care settings present unique challenges that need to be considered such as the impl

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Overcoming the Challenges of the Last Mile: A Model of Riders for Health,eck to healthcare access in this and other regions. There are a number of challenges to building relevant models for resource-limited settings, including a lack of data and performance indicators. Nonetheless, operations research methodology can be used to evaluate and improve the last mile of healt

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Queueing Models for Healthcare Operations,ificant variability is naturally present and difficult to eliminate, capacity planning must trade-off the cost of providing resources and the cost of patient waiting. In this chapter, we review basic queueing models that help quantify the above-mentioned tradeoff and discuss the usefulness of such m

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Overcoming the Challenges of the Last Mile: A Model of Riders for Health, informed by numerous visits and interviews conducted over the past two years, as we set up a trial to evaluate Riders’ effectiveness. With our model, we identify Riders’ most effective initiatives as well as advise the organization on its priorities.

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0884-8289 s. Chapters 12 – 16 cover topics related to the broader integration of health services in the context of public health, including optimizing the location of emergency vehicles, planning for mass vaccination eve978-1-4899-9550-6978-1-4614-5885-2Series ISSN 0884-8289 Series E-ISSN 2214-7934