Quantitative Methods in Health Care Management

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.

A practical introduction to epidemiology, biostatistics, and research methodology for the whole health care community This comprehensive text, which has been extensively revised with new material and additional topics, utilizes a practical slant to introduce health professionals and students to epidemiology, biostatistics, and research methodology. It draws examples from a wide range of topics, covering all of the main contemporary health research methods, including survival analysis, Cox regression, and systematic reviews and meta-analysis—the explanation of which go beyond introductory concepts. This second edition of Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics also helps develop critical skills that will prepare students to move on to more advanced and specialized methods. A clear distinction is made between knowledge and concepts that all students should ensure they understand, and those that can be pursued further by those who wish to do so. Self-assessment exercises throughout the text help students explore and reflect on their understanding. A program of practical exercises in SPSS (using a prepared data set) helps to consolidate the theory and develop skills and confidence in data handling, analysis, and interpretation. Highlights of the book include: Combining epidemiology and bio-statistics to demonstrate the relevance and strength of statistical methods Emphasis on the interpretation of statistics using examples from a variety of public health and health care situations to stress relevance and application Use of concepts related to examples of published research to show the application of methods and balance between ideals and the realities of research in practice Integration of practical data analysis exercises to develop skills and confidence Supplementation by a student companion website which provides guidance on data handling in SPSS and study data sets as referred to in the text Quantitative Methods for Health Research, Second Edition is a practical learning resource for students, practitioners and researchers in public health, health care and related disciplines, providing both a course book and a useful introductory reference.

Foundations of Health Care Management Leaders and managers throughout the health care system are facing ever more challenging changes in the way care is delivered, paid for, and evaluated. Foundations of Health Care Management: Principles and Methods offers an innovative, concise, reader-friendly introduction to health care management and administration. It addresses the need for new skills in managers of health care facilities and for those planning to enter health care management positions. The book covers such critical topics as leadership training, change management, conflict management techniques, culture building, quality improvement, and communications skills, as well as collaboration in the improvement of population health. Foundations of Health Care Management also concentrates on innovations and describes steps in the transition to more decentralized and creative approaches to the management of health care facilities. The book covers physician management from the physician's viewpoint, a valuable perspective for health care managers. The book serves important dual purposes for faculty and students by providing both insights into the health care field as well as foundational content on essential management and leadership competencies. A full set of support materials is available for instructors at the book's companion Web site.

Management Accounting in Health Care Organizations offers an introduction to the subject of management accounting and provides a user-oriented approach to the concepts and techniques students need in order to understand management accounting in a health care context. This volume includes the information needed to master the basics of full-cost accounting, differential cost accounting, and responsibility accounting. It describes the uses and limitations of management accounting and the common accounting pitfalls managers face when making routine health care management decisions. This important text is formatted to provide an interactive learning approach. Students prepare answers to problems as they appear throughout each chapter and analyze one or more practice cases at the end of the chapter. Each chapter's practice case is followed by several cases that can be assigned for analysis and discussion in the classroom setting.

Lifestyle Management in Health and Social Care is a one-stop handbook for health and social care professionals that assists in the provision of a wide range of professional lifestyle advice, treatment or condition specific therapy. It is both evidence-based and highly practical. Each chapter provides background information on a particular lifestyle factor including fatigue, stress, relationships and diet. In addition the book offers suggestions for further reading and step-by-step advice on how to explain and facilitate lifestyle skills with clients. At the end of each chapter and posted on the companion website are information sheets to hand out to clients to further support their understanding and their ability to apply effective strategies and skills for change. Features Companion website with downloadable PDF files of client handouts Evidence-based Multi-professional contributions Suggestions for further reading Includes motivational interviewing

In today’s challenging health care environment, health care organizations are faced with improving patient outcomes, redesigning business processes, and executing quality and risk management initiatives. Health Care Quality Management offers an introduction to the field and practice of quality management and reveals the best practices and strategies health care organizations can adopt to improve patient outcomes and program quality. Filled with illustrative case studies that show how business processes can be restructured to achieve improvements in quality, risk reduction, and other key business results and outcomes Clearly demonstrates how to effectively use process analysis tools to identify issues and causes, select corrective actions, and monitor implemented solutions Includes vital information on the use of statistical process control to monitor system performance (variables) and outcomes (attributes) Also contains multiple data sets that can be used to practice the skills and tools discussed and reviews examples of where and how the tools have been applied in health care Provides information on root cause analysis and failure mode effects analysis and offers, as discussion, the clinical tools and applications that are used to improve patient care By emphasizing the tools of statistics and information technology, this book teaches future health care professionals how to identify opportunities for quality improvement and use the tools to make those improvements.

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.

Discover foundational and advanced techniques in quantitative equity trading from a veteran insider  In  Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage , distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn patterns of asset returns from historical data, generate and combine multiple forecasts, manage risk, build a stock portfolio optimized for risk and trading costs, and execute trades.  In this important book, you’ll discover:  Machine learning methods of forecasting stock returns in efficient financial markets How to combine multiple forecasts into a single model by using secondary machine learning, dimensionality reduction, and other methods Ways of avoiding the pitfalls of overfitting and the curse of dimensionality, including topics of active research such as “benign overfitting” in machine learning The theoretical and practical aspects of portfolio construction, including multi-factor risk models, multi-period trading costs, and optimal leverage Perfect for investment professionals, like quantitative traders and portfolio managers,  Quantitative Portfolio Management  will also earn a place in the libraries of data scientists and students in a variety of statistical and quantitative disciplines. It is an indispensable guide for anyone who hopes to improve their understanding of how to apply data science, machine learning, and optimization to the stock market.

The bestselling textbook to understanding health research, updated and expanded Research Methods in Health Promotion provides students and practitioners with essential knowledge and skills regarding the design, implementation, analysis, and interpretation of research in the field of health promotion. Now in its second edition, this bestselling textbook has been updated with more recent research methodologies and additional information on sampling, participatory and survey research, and qualitative data analysis. The entire research process is covered, with specific points relating to both qualitative and quantitative research. By breaking the daunting process of research into simple and well-defined steps, this user-friendly text encourages students to think about research as a sequential process and provides explanations that facilitate better understanding of each step in the research process. A separate set of chapters cover the more quantitative methodological areas including designs, measurement, sampling, and data analysis in depth, giving readers the understanding they need to apply in practice. This book also provides applied chapters that illustrate the practical aspects of the research process, along with other critical information including grant writing and scientific writing. Evaluate the ethics, design, analysis, and interpretation of research Identify and understand the key components of research studies Analyze and interpret the results of experimental and survey research designs Understand the process of publishing a research report and constructing a grant proposal Research Methods in Health Promotion is ideal for both undergrad and graduate methods courses in health promotion and public health.

Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set. Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and asset manager, roles that are currently in huge demand. Accessible to intelligent readers with a moderate understanding of mathematics at high school level or to anyone with a university degree in mathematics, physics or engineering, no prior knowledge of finance is necessary. Instead the emphasis is on understanding ideas rather than on mathematical rigour, meaning that this book offers a fast-track introduction to financial analysis for readers with some quantitative background, highlighting those areas of mathematics that are particularly relevant to solving problems in financial risk management and asset management. Unique to this book is a focus on both continuous and discrete time finance so that Quantitative Methods in Finance is not only about the application of mathematics to finance; it also explains, in very pedagogical terms, how the continuous time and discrete time finance disciplines meet, providing a comprehensive, highly accessible guide which will provide readers with the tools to start applying their knowledge immediately. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Principal component analysis of European equity indices; Calibration of Student t distribution by maximum likelihood; Orthogonal regression and estimation of equity factor models; Simulations of geometric Brownian motion, and of correlated Student t variables; Pricing European and American options with binomial trees, and European options with the Black-Scholes-Merton formula; Cubic spline fitting of yields curves and implied volatilities; Solution of Markowitz problem with no short sales and other constraints; Calculation of risk adjusted performance metrics including generalised Sharpe ratio, omega and kappa indices.