Operational Research For Health Policy Making Better Decisions
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Operational Research for Health Policy: Making Better Decisions by Paul Harper Pdf
ORAHS, the Working Group on Operational Research Applied to Health Services, is a special-interest group of EURO (the European Association of OR Societies). ORAHS meets every year in a different host country. The objectives of the group include communication of ideas, knowledge and experience concerning the application of Operational Research approaches and methods to problems in the health services area; mutual support between members; and collaboration on joint projects. The 31st meeting of ORAHS was held in 2005 at the University of Southampton, UK. A total of forty-one scientific papers were presented, nineteen of which are contained in this volume. The application areas covered include resource allocation, performance measurement and disease modelling, from within Europe and beyond. The approaches used range from mathematical optimization, simulation and statistical modelling through to «soft» OR. These proceedings provide a broad perspective on current research in this area across Europe and beyond.
EURO Working Group "Operational Research Applied to Health Services." Meeting
Author : EURO Working Group "Operational Research Applied to Health Services." Meeting Publisher : Unknown Page : 0 pages File Size : 54,9 Mb Release : 2007 Category : Medical care ISBN : OCLC:1392367664
Operations Research and Health Care Policy by Gregory S. Zaric Pdf
Operations research tools are ideally suited to providing solutions and insights for the many problems health policy-maker's face. Indeed, a growing body of literature on health policy analysis, based on operations research methods, has emerged to address the problems mentioned above and several others. The research in this field is often multi-disciplinary, being conducted by teams that include not only operations researchers but also clinicians, economists and policy analysts. The research is also often very applied, focusing on a specific question driven by a decision-maker and many times yielding a tool to assist in future decisions. The goal of this volume was to bring together a group of papers by leading experts that could showcase the current state of the field of operations research applied to health-care policy. There are 18 chapters that illustrate the breadth of this field. The chapters use a variety of techniques, including classical operations research tools, such as optimization, queuing theory, and discrete event simulation, as well as statistics, epidemic models and decision-analytic models. The book spans the field and includes work that ranges from highly conceptual to highly applied. An example of the former is the chapter by Kimmel and Schackman on building policy models, and an example of the latter is the chapter by Coyle and colleagues on developing a Markov model for use by an organization in Ontario that makes recommendations about the funding of new drugs. The book also includes a mix of review chapters, such as the chapter by Hutton on public health response to influenza outbreaks, and original research, such as the paper by Blake and colleagues analyzing a decision by Canadian Blood Services to consolidate services. This volume could provide an excellent introduction to the field of operations research applied to health-care policy, and it could also serve as an introduction to new areas for researchers already familiar with the topic. The book is divided into six sections. The first section contains two chapters that describe several different applications of operations research in health policy and provide an excellent overview of the field. Sections 2 to 4 present policy models in three focused areas. Section 5 contains two chapters on conceptualizing and building policy models. The book concludes in Section 6 with two chapters describing work that was done with policy-makers and presenting insights gained from working directly with policy-makers.
Margaret L. Brandeau,Francois Sainfort,William P. Pierskalla
Author : Margaret L. Brandeau,Francois Sainfort,William P. Pierskalla Publisher : Springer Science & Business Media Page : 870 pages File Size : 52,6 Mb Release : 2006-04-04 Category : Medical ISBN : 9781402080661
Operations Research and Health Care by Margaret L. Brandeau,Francois Sainfort,William P. Pierskalla Pdf
In both rich and poor nations, public resources for health care are inadequate to meet demand. Policy makers and health care providers must determine how to provide the most effective health care to citizens using the limited resources that are available. This chapter describes current and future challenges in the delivery of health care, and outlines the role that operations research (OR) models can play in helping to solve those problems. The chapter concludes with an overview of this book – its intended audience, the areas covered, and a description of the subsequent chapters. KEY WORDS Health care delivery, Health care planning HEALTH CARE DELIVERY: PROBLEMS AND CHALLENGES 3 1.1 WORLDWIDE HEALTH: THE PAST 50 YEARS Human health has improved significantly in the last 50 years. In 1950, global life expectancy was 46 years [1]. That figure rose to 61 years by 1980 and to 67 years by 1998 [2]. Much of these gains occurred in low- and middle-income countries, and were due in large part to improved nutrition and sanitation, medical innovations, and improvements in public health infrastructure.
This A-Z book aims to equip the reader with the practical knowledge, skills, and attitudes needed to deliver powerful research evidence for health policy-makers, in the government, not-for-profit, and private sectors. It focuses on describing the genre of policy-relevant research in a heuristic, practice-based way.
Advanced Decision Making Methods Applied to Health Care by Elena Tanfani,Angela Testi Pdf
The most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature. This requires not only the ability to analyze and interpret a large amount of information but also arrange it so that it becomes a cognitive base for appropriate decision-making. Moreover, decisions in the health care field are subjected to many challenges and constraints: fast change and uncertain outcomes, aging population, increasing citizen expectations, equity considerations and limited resources. Operations research, statistical and economic-related quantitative methods supply these decisions making tools and methodology. The contributed book presents a collection of applications to concrete situations detailing the problem area, the methodology employed, the implementation and results. Each topic addressed in the book will be structured in such a way that an interdisciplinary and wide audience will be able to use the materials presented. As an example the book chapters will address health policies issues, planning health services, epidemiology and disease modelling, home-care modelling, logistics in health care, capacity planning, quality and appropriateness.
Operational Research for Emergency Planning in Healthcare: Volume 2 by Navonil Mustafee Pdf
This book presents a selection of studies that have applied Operational Research methods to improve emergency planning in healthcare, to include both A&E and public health emergencies like epidemic and natural disasters. The studies have delved into qualitative Operational Research like Problem Structuring, Critical Systems Thinking, Soft Systems Methodology, and Qualitative System Dynamics, and also quantitative techniques such as Monte Carlo Simulation, Discrete-event Simulation, and System Dynamics. These techniques have been applied for review and assessment of emergency services, for policy formulation and for facilitating broader public engagement in emergency preparedness and response. Furthermore, this book presents rigorous reviews on the applications of Operational Research in the wider healthcare context. This volume focuses mainly on emergency planning at the strategic level, whereas volume 1 focuses on planning at the operational 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.
Integration of Constraint Programming, Artificial Intelligence, and Operations Research by Emmanuel Hebrard,Nysret Musliu Pdf
The volume LNCS 12296 constitutes the papers of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research which will be held online in September 2020. The 32 regular papers presented together with 4 abstracts of fast-track papers were carefully reviewed and selected from a total of 72 submissions. Additionally, this volume includes the 4 abstracts and 2 invited papers by plenary speakers. The conference program also included a Master Class on the topic “Recent Advances in Optimization Paradigms and Solving Technology"
Humanitarian and Relief Logistics by Vasileios Zeimpekis,Soumia Ichoua,Ioannis Minis Pdf
This edited volume highlights recent research advances in humanitarian relief logistics. The contributed chapters span the spectrum of key issues and activities from preparedness to mitigation operations (response), planning and execution. The volume also presents state-of-the-art methods and systems through current case studies. Significant issues in planning and execution of humanitarian relief logistics discussed in this volume include the following: • Approaches that tackle realistic relief distribution networks. In addition to large-scale computing issues, heuristics may handle the complexity and particularities of humanitarian supply chains • Methods that integrate real-time information while effectively coping with time pressure and uncertainty, both of which are inherent to a disaster scene • Judicious recourse strategies that allow a quick and effective restoration of pre-planned solutions whenever an unpredictable event occurs • Coordination of multiple parties that are often involved in managing a disaster, including NGOs, local, state and federal agencies. This volume provides robust evidence that research in humanitarian logistics may lead to substantial improvements in effectiveness and efficiency of disaster relief operations. This is quite encouraging, since the unique characteristics of disaster scenes provide significant opportunities for researchers to investigate novel approaches contributing to logistics research while offering a significant service to society.
Operations Research by N. K. Kwak,Homer H. Schmitz,Marc J. Schniederjans Pdf
This collection of articles illustrates the application of operations research to aid in health care decision making and planning. The articles provide an insight into not only the application of the techniques themselves but also to the process of actually developing and implementing the models for effective decision making. This helpful text will be of interest to hospital administrators, health care planners, consultants, and students.
Author : Stephen J. Duckett Publisher : Springer Science & Business Media Page : 167 pages File Size : 44,6 Mb Release : 2012-12-06 Category : Medical ISBN : 9783642933431
Operations Research for Health Planning and Administration by Stephen J. Duckett Pdf
Operations research aims to assist managers faced with problems of coordinating activities; improving the quality of care of services delivered; making optimal resource allocation decisions and generally, managing services and institutions. Operations research (or O.R.) was originally developed in response to the problems of the second World War. It was characterised then by a unifying and clear objective; clear problems that had to be solved and the use of inter-disciplinary teams to analyse and solve identified problems. This analysis often drew on mathematical techniques. After the war, operations research moved in two separate but related directions. In England, the emphasis on inter-disciplinary approaches and problem solving teams remained. The operations researcher still used mathematical techniques but these were not systematised into a volume of standard formulae. The emphasis of operations research was on the approach not the tools used (see, for example, Luckman & Stringer, 1974; also Luck, Luckman, Smith & Stringer 1971; and McLachlan, 1975). In the United States, the emphasis was placed on the use of mathematical techniques. Operations research became a mathematically based science relying on standardised models (e. g. queuing, allocation) and formulae. This approach was facilitated by the availability of computers.
Operations Research Applications in Health Care Management by Cengiz Kahraman,Y. Ilker Topcu Pdf
This book offers a comprehensive reference guide to operations research theory and applications in health care systems. It provides readers with all the necessary tools for solving health care problems. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts of operations research for the management of operating rooms, intensive care units, supply chain, emergency medical service, human resources, lean health care, and procurement. To foster a better understanding, the chapters include relevant examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on health care management problems. The book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
Automated Scheduling and Planning by A. Sima Uyar,Ender Ozcan,Neil Urquhart Pdf
Solving scheduling problems has long presented a challenge for computer scientists and operations researchers. The field continues to expand as researchers and practitioners examine ever more challenging problems and develop automated methods capable of solving them. This book provides 11 case studies in automated scheduling, submitted by leading researchers from across the world. Each case study examines a challenging real-world problem by analysing the problem in detail before investigating how the problem may be solved using state of the art techniques.The areas covered include aircraft scheduling, microprocessor instruction scheduling, sports fixture scheduling, exam scheduling, personnel scheduling and production scheduling. Problem solving methodologies covered include exact as well as (meta)heuristic approaches, such as local search techniques, linear programming, genetic algorithms and ant colony optimisation.The field of automated scheduling has the potential to impact many aspects of our lives and work; this book highlights contributions to the field by world class researchers.
Author : Michael P. Johnson Publisher : Springer Science & Business Media Page : 340 pages File Size : 49,5 Mb Release : 2011-09-18 Category : Business & Economics ISBN : 1461408067
Community-Based Operations Research by Michael P. Johnson Pdf
This edited volume is an introduction to diverse methods and applications in operations research focused on local populations and community-based organizations that have the potential to improve the lives of individuals and communities in tangible ways. The book's themes include: space, place and community; disadvantaged, underrepresented or underserved populations; international and transnational applications; multimethod, cross-disciplinary and comparative approaches and appropriate technology; and analytics. The book is comprised of eleven original submissions, a re-print of a 2007 article by Johnson and Smilowitz that introduces CBOR, and an introductory chapter that provides policy motivation, antecedents to CBOR in OR/MS, a theory of CBOR and a comprehensive review of the chapters. It is hoped that this book will provide a resource to academics and practitioners who seek to develop methods and applications that bridge the divide between traditional OR/MS rooted in mathematical models and newer streams in 'soft OR' that emphasize problem structuring methods, critical approaches to OR/MS and community engagement and capacity-building.
