Health Care Operations Management

Health Care Operations Management: A Systems Perspective, Second Edition provides comprehensive and practical coverage of all aspects of operations management specific to the healthcare industry. It covers everything from hospital finances to project management, patient flows, performance management, process improvement, and supply chain management. This is an ideal text for university courses in healthcare management at all levels. It is also an excellent professional reference for healthcare administrators, clinical support managers, and supply chain professionals. The Second Edition has been thoroughly updated with the most recent data, statistics, and references. It also offers expanded coverage of quality, financial, and systems management, as well as a new chapter entitled "Operational Metrics in Health Care Organization".

From the Preface: Collectively, the chapters in this book address application domains including inpatient and outpatient services, public health networks, supply chain management, and resource constrained settings in developing countries. Many of the chapters provide specific examples or case studies illustrating the applications of operations research methods across the globe, including Africa, Australia, Belgium, Canada, the United Kingdom, and the United States. Chapters 1-4 review operations research methods that are most commonly applied to health care operations management including: queuing, simulation, and mathematical programming. Chapters 5-7 address challenges related to inpatient services in hospitals such as surgery, intensive care units, and hospital wards. Chapters 8-10 cover outpatient services, the fastest growing part of many health systems, and describe operations research models for primary and specialty care services, and how to plan for patient no-shows. 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 events, and the coordination among different parts of a health system. Chapters 17-18 address supply chain management within hospitals, with a focus on pharmaceutical supply management, and the challenges of managing inventory for nursing units. Finally, Chapters 19-20 provide examples of important and emerging research in the realm of humanitarian logistics.

"This book aims to help healthcare management students and working professionals find ways to improve the delivery of healthcare, even with its complex web of patients, providers, reimbursement systems, physician relations, workforce challenges, and intensive government regulation. Taking an integrated approach, the book puts the tools and techniques of operations improvement in the context of healthcare so that readers learn how to increase the effectiveness and efficiency of tomorrow's healthcare system."--Back of the book

"This book explores the core principles of effective organizational operations and explains how they can be used to tackle specific challenges in healthcare"--

Describes how to build a competitive edge by developing superior operations This comprehensive, practice-oriented text illustrates how healthcare organizations can gain a competitive edge through superior operations – and demonstrates how to achieve them. Underscoring the importance of a strategic perspective, the book describes how to attain excellence in the four competitive priorities: quality, cost, delivery, and flexibility. The competitive priorities are interrelated, with excellent quality laying the foundation for performance in the other competitive priorities, and with targeted improvement initiatives having synergistic effects. The text stresses the benefits of aligning the entire operations system within the parameters of a business strategy. It equips students with a conceptual mental model of healthcare operations in which all concepts and tools fit together logically. With a hands-on approach, the book clearly demonstrates the “how-tos” of effectively managing a healthcare organization. It describes how to negotiate the different perspectives of clinicians and administrators by offering a common platform for building competitive advantage. To bring the cultural context of a healthcare organization to life, the book engages students with a series of short vignettes of a fictitious healthcare organization as it strives to achieve the status of a highly reliable organization. Integrated throughout are a variety of tools and quantitative techniques with step-by-step instructions to assist in problem solving and process improvements. Also included are mind maps linking competitive priorities and concepts, quick-reference icons, dashboards displaying measurement and process tracking, and boxed features. Several project ideas, team assignments, and creative thinking exercises are proposed. A comprehensive Instructor Packet and online tutorials further enhance the book’s outstanding value. Key Features: Includes mind maps to connect competitive priorities, concepts, and tools Provides an extensive tool kit for problem solving and process improvements Presents icons throughout the text to emphasize competitive priorities and tool coverage Emphasizes measurement with dashboards and includes data files for statistical process control, queuing, and simulation Demonstrates human dynamics and organizational challenges through realistic vignettes Presents boxed features of frequently asked questions an real-world implementations of concepts Provides comprehensive Instructor Packet and online tutorials

By one estimate, the U.S. wastes $480 billion annually on healthcare expenditures that don’t improve care. Worse, because of faulty systems – not personnel – up to 98,000 people die every year due to preventable medical errors – and that doesn’t count non-terminal events such as hospital-acquired infections. In Hospital Operations, two leading operations management experts and four senior physicians demonstrate how to apply new OM advances to substantially improve any hospital’s operational, clinical, and financial performance. Replete with examples, this bookshows how to diagram hospital flows, trace interconnections, and optimize flows for better performance. Readers will find specific guidance on improving emergency departments, operating rooms, hospital floors, and diagnostic units; and successfully applying metrics. Coverage includes: reducing ER overcrowding and enhancing patient safety...improving OR scheduling, enhancing organizational learning, and responding to surgeons and other stakeholders... improving bed availability, optimizing nurse schedules, and creating more seamless patient handoffs... reducing lab turnaround time, improving imaging responsiveness, and decreasing lab errors...successfully applying the right metrics for every facet of hospital performance. The authors conclude by previewing the "Hospital of the Future," addressing issues ranging from prevention and self-care to the evolution of technology and evidence-based medicine.

Health Care Operations and Supply Chain Management This innovative text offers a thorough foundation in operations management, supply chain management,?and the strategic implementation of programs, techniques, and tools for reducing costs and improving quality in health care organizations. The authors incorporate the features and functions of Microsoft Excel where appropriate in their coverage of supply chain strategy, process design and analysis of health care operations, managing health care operations quality, and planning and controlling health care operations. Health Care Operations and Supply Chain Management offers real-world examples to illustrate the most current concepts and techniques such as value stream mapping and Six Sigma. In addition, the authors clearly demonstrate how operations and process improvement relate to contemporary health care trends such as evidence-based medicine and pay-for-performance. Health Care Operations and Supply Chain Management contains: Leading edge concepts and techniques Real-life data and actual examples from health care settings to underscore the main concepts in the text Instruction in the use of Microsoft Excel for health care operations and supply side management The book's numerous screen shots and detailed instructions guide the student through the use of Microsoft Excel's many functions and features.

Hospitals are large and complex organizations, yet they function largely without sophistication and technology inherent in other large businesses. In a time when well over half of all hospitals report negative operating margins, driving down costs through logistics and the supply chain is one of the most important yet overlooked areas for cost improvements. Hospitals and other healthcare systems spend more time and money on their supply chain than on physicians and doctors salaries combined. This is one of the first books to focus on the core business support services typically called “logistics” in healthcare. These include: Hospital materials management and the clinical supply chain Laundry and linen management eCommerce and technology in hospital logistics Accounting for medical supplies and inventories Inventory management Healthcare vendor collaboration Demand and supply planning This is an ideal text for healthcare administrators and functional business managers responsible for purchasing, receiving, supplier management, business planning, accounting, and hospital administration as well as for students of hospital business services.

This Briefs Series book illustrates in depth a concept of healthcare management engineering and its domain for hospital and clinic operations. Predictive and analytic decision-making power of management engineering methodology is systematically compared to traditional management reasoning by applying both side by side to analyze 26 concrete operational management problems adapted from hospital and clinic practice. The problem types include: clinic, bed and operating rooms capacity; patient flow; staffing and scheduling; resource allocation and optimization; forecasting of patient volumes and seasonal variability; business intelligence and data mining; and game theory application for allocating cost savings between cooperating providers. Detailed examples of applications are provided for quantitative methods such as discrete event simulation, queuing analytic theory, linear and probabilistic optimization, forecasting of a time series, principal component decomposition of a data set and cluster analysis, and the Shapley value for fair gain sharing between cooperating participants. A summary of some fundamental management engineering principles is provided. The goal of the book is to help to bridge the gap in mutual understanding and communication between management engineering professionals and hospital and clinic administrators. The book is intended primarily for hospital/clinic leadership who are in charge of making managerial decisions. This book can also serve as a compendium of introductory problems/projects for graduate students in Healthcare Management and Administration, as well as for MBA programs with an emphasis in Healthcare.

Thoroughly revised and updated for Excel®, this second edition of Quantitative Methods in Health Care Management offers a comprehensive introduction to quantitative methods and techniques for the student or new administrator. Its broad range of practical methods and analysis spans operational, tactical, and strategic decisions. Users will find techniques for forecasting, decision-making, facility location, facility layout, reengineering, staffing, scheduling, productivity, resource allocation, supply chain and inventory management, quality control, project management, queuing models for capacity, and simulation. The book's step-by-step approach, use of Excel, and downloadable Excel templates make the text highly practical. Praise for the Second Edition "The second edition of Dr. Ozcan's textbook is comprehensive and well-written with useful illustrative examples that give students and health care professionals a perfect toolkit for quantitative decision making in health care on the road for the twenty-first century. The text helps to explain the complex health care management problems and offer support for decision makers in this field." Marion Rauner, associate professor, School of Business, Economics, and Statistics, University of Vienna. "Quantitative Methods in Health Care Administration, Second Edition covers a broad set of necessary and important topics. It is a valuable text that is easy to teach and learn from." David Belson, professor, Department of Industrial Engineering, Viterbi School of Engineering, University of Southern California.

Focused Operations Management for Health Services Organizations offers managers and staff the practical knowledge and tools they need to accomplish much more within existing resources. This text identifies common bottlenecks and constraints and focuses on the critical issues and processes faced by managers in the health care field. The book provides tools to significantly improve organizational operations as well as enhance quality and customer satisfaction without increasing the use of physical, human, and financial resources.

Focusing on the mannagement of patient flows and resources in and between healthcare organizations, this book will include both a theoretical framework and case studies for practical use by students.

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.

A compendium of health care quantitative techniques based in Excel Analytics and Decision Support in Health Care Operations is a comprehensive introductory guide to quantitative techniques, with practical Excel-based solutions for strategic health care management. This new third edition has been extensively updated to reflect the continuously evolving field, with new coverage of predictive analytics, geographical information systems, flow process improvement, lean management, six sigma, health provider productivity and benchmarking, project management, simulation, and more. Each chapter includes additional new exercises to illustrate everyday applications, and provides clear direction on data acquisition under a variety of hospital information systems. Instructor support includes updated Excel templates, PowerPoint slides, web based chapter end supplements, and data banks to facilitate classroom instruction, and working administrators will appreciate the depth and breadth of information with clear applicability to everyday situations. The ability to use analytics effectively is a critical skill for anyone involved in the study or practice of health services administration. This book provides a comprehensive set of methods spanning tactical, operational, and strategic decision making and analysis for both current and future health care administrators. Learn critical analytics and decision support techniques specific to health care administration Increase efficiency and effectiveness in problem-solving and decision support Locate appropriate data in different commonly-used hospital information systems Conduct analyses, simulations, productivity measurements, scheduling, and more From statistical techniques like multiple regression, decision-tree analysis, queuing and simulation, to field-specific applications including surgical suite scheduling, roster management, quality monitoring, and more, analytics play a central role in health care administration. Analytics and Decision Support in Health Care Operations provides essential guidance on these critical skills that every professional needs.

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.

Across the country ambulances are turned away from emergency departments (EDs) and patients are waiting hours and sometimes days to be admitted to a hospital room. Hospitals are finding it hard to get specialist physicians to come to treat emergency patients. Our EDs demand a new way of thinking. They are not at a tipping point; they are at a breaking point. Under current loads and trends they are going to begin to break and these breakdowns will be painful and ultimately dangerous to society. Recognizing that the ideal in health care is presently beyond our immediate grasp, this book instead focuses on providing health care leaders with the tools they can employ to optimize the performance of EDs and thereby improve service to patients, employees, and communities. Written by 20 of the most progressive and successful health care reformers in the country, the approaches described can be utilized to quantify improvements, enhance predictability of workflow, and improve staff scheduling. The data derived using these techniques can serve as powerful evidence in support of change. While a common discussion among ED professionals is the perception that many patients are not really emergency patients and could be treated in another setting at another time, that argument is not germane until we as a nation elect to reform the way we chose to deliver healthcare to the underserviced. In the meantime this book provides invalauable information to help individual hospitals to retool their ED’s. It offers new approaches that think outside of the box for all stakeholders. It also provides the statistical evidence that administrators need to make their cases for changes and added resources. It will help you forecast the demand for services and give your center an approach that will allow the ED to become a source of income rather than one that continues to hemorrhage needed limited health care funding.

This book presents healthcare logistics solutions that have been successfully implemented at a variety of healthcare facilities. In each case, a major challenge is presented, along with the solution approach and implementation steps, followed by the impact on hospital operations. Problems encountered when implementing the results in practice are also discussed. Much of the work presented is drawn from the experiences of members of the Center for Healthcare Operations Improvement and Research (CHOIR) at Twente, along with the CHOIR spin-off company, Rhythm.

This book focuses on operations management and the strategic implementation of programs, techniques, and tools for reducing costs and improving quality. It covers the basics of operations management and explains how operations and process improvement relate to contemporary healthcare trends, such as evidence-based medicine and pay-for-performance. The book's practical approach includes real-world examples to illustrate concepts and explanations of software tools, such as Excel and Project, that solve operational problems. This second edition has been thoroughly revised to address current issues facing healthcare managers. Major revisions include extensive updates to the chapters on statistical tools, Six Sigma, and the Lean enterprise. The chapter on project management now includes information on agile project management, and the chapter on scheduling and capacity management has been substantially rewritten and expanded. A new chapter on improving financial performance with operations management has been added. Key Features Aligns strategic and operational goals, including the use of project management tools and balanced-scorecard techniques, to execute and monitor projects Includes chapter overviews, a running glossary, Thoroughly explores performance tools, techniques, and programs, including Six Sigma, the Lean enterprise, and simulation Applies process improvement tools to supply chain management, scheduling, and other discussion questions, and problems for each chapter healthcare issues Student Resources Students can access an online book companion that features additional learning tools, including Excel templates, instructional videos, tutorials, exercises, and PowerPoint presentations for each chapter. Also provided are links to webcasts, web demonstrations, and case studies related to specific topics. Book jacket.

How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century? Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrusts—such as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among others—and structures what has been a highly fragmented research area into a coherent scientific discipline. The handbook also provides an easy-to-comprehend introduction to five essential research tools—Markov decision process, game theory and information economics, queueing games, econometric methods, and data science—by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts. The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective—a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable—can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately. Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose. The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course.

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.