Operational Research for Emergency Planning in Healthcare: Volume 1 [[electronic resource] /] / edited by Navonil Mustafee

• Record Nr.: UNINA9910254934203321
• Pubbl/distr/stampa: London : , : Palgrave Macmillan UK : , : Imprint : Palgrave Macmillan, , 2016
• ISBN: 1-137-53569-5
• Edizione: [1st ed. 2016.]
• Descrizione fisica: 1 online resource (393 p.)
• Collana: OR Essentials
• Disciplina: 658.4038
• Soggetti: Management information systems; Business mathematics; Production management; Leadership; Facility management; Operations research; Decision making; Business Information Systems; Business Mathematics; Operations Management; Business Strategy/Leadership; Facility Management; Operations Research/Decision Theory
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Contents; List of Figures and Tables; 1 A Synthesis of Operational Research for Emergency Planning in Healthcare through the Triple Lens of Technique-Domain-Context; Part I: OR for Locating Emergency Services; 2 Locating Emergency Services with Different Priorities: The Priority Queuing Covering Location Problem; 3 Decision Support Tools for Ambulance Dispatch and Relocation; 4 A Study of Situationally Aware Routing for Emergency Responders; Part II: OR for Operational Planning in Emergency Services; 5 Multi-Criteria Approach Using Simulation-Based Balanced Scorecard ; for Supporting Decisions in Health-care Facilities: An Emergency Department Case Study6 Combining Data Mining and Discrete Event Simulation for a Value-Added View of a Hospital Emergency Department; 7 Uncovering Effective Process Improvement Strategies in an Emergency Department Using Discrete Event Simulation; 8 Improving the Design and Operation of an Integrated Emergency Post via Simulation; 9 A Simulation Case Study to Improve Staffing Decisions at Mass Immunization Clinics for Pandemic Influenza; 10 Modelling Treatment Effects in the HIV/AIDS EpidemicPart III: OR for Inventory Management in Emergency Services; 11 Impact of the Influenza Season on a Hospital from a Pharmaceutical Inventory Management Perspective; 12 Perishable Inventory Management System with a Minimum Volume Constraint; 13 A Bayesian Decision Model with Hurricane Forecast Updates for Emergency Supplies Inventory Management; 14 Using Simulation to Improve the Blood Supply Chain; Index
• Sommario/riassunto: 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.