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Titlebook: Operational Research for Emergency Planning in Healthcare: Volume 1; Navonil Mustafee (Senior Lecturer in Operations Ma Book 2016 The Edit

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發(fā)表于 2025-3-21 18:20:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Operational Research for Emergency Planning in Healthcare: Volume 1
編輯Navonil Mustafee (Senior Lecturer in Operations Ma
視頻videohttp://file.papertrans.cn/703/702028/702028.mp4
叢書名稱OR Essentials
圖書封面Titlebook: Operational Research for Emergency Planning in Healthcare: Volume 1; Navonil Mustafee (Senior Lecturer in Operations Ma Book 2016 The Edit
描述This book presents a collection of studies that have applied analytical methods to improve preparedness, planning, and a faster response to A&E and public health emergencies like epidemic and disease outbreak. It explores the application of quantitative Operational Research techniques such as Mathematical Modelling and Optimization, Maximum Likelihood Estimation, Multiple-Criteria Decision Analysis, Discrete-event Simulation, Data Mining, and Bayesian Decision Models. These techniques have been used for better management of emergency care, including first responders, ambulance services, A&E departments, and mass immunisation centres. This volume focuses on planning at the operational level whereas volume 2 focuses mainly on planning at the strategic level.The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research (OR) topics. It brings together some of the best research papers from the highly respected journals of the Operational Research Society, also published by Palgrave Macmillan.
出版日期Book 2016
關(guān)鍵詞Operational research; operations research; analytics; OR; health; emergency; planning; healthcare; health sy
版次1
doihttps://doi.org/10.1057/9781137535696
isbn_ebook978-1-137-53569-6Series ISSN 2946-2894 Series E-ISSN 2946-2908
issn_series 2946-2894
copyrightThe Editor(s) (if applicable) and The Author(s) 2016
The information of publication is updating

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Locating Emergency Services with Different Priorities: The Priority Queuing Covering Location Problendently of the service’s priority. This type of constraint is clearly inappropriate in many contexts. For example, in urban medical emergency services, calls that involve danger to human life deserve higher priority over calls for more routine incidents. A realistic model in such a context should al
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Decision Support Tools for Ambulance Dispatch and Relocationnce dispatch problem is to choose which ambulance to send to a patient. The dynamic ambulance relocation problem occurs in the operational control of ambulances. The objective is to find new locations for some of the ambulances, to increase the preparedness in the area of responsibility. Preparednes
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Uncovering Effective Process Improvement Strategies in an Emergency Department Using Discrete Event Singapore General Hospital (SGH) Emergency Department (ED). This model was then to be employed to evaluate the impact of different operational strategies on two performance measures, namely, time to first consult (TFC) and turnaround time (TT) of patients at ED. The DES model is used to represent ED
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