This new edition continues to emphasize the use of data envelopment analysis (DEA) to create optimization-based benchmarks within hospitals, physician group practices, health maintenance organizations, nursing homes and other health care delivery organizations. Suitable for graduate students learning DEA applications in health care as well as for practicing administrators, it is divided into two sections covering methods and applications. Section I considers efficiency evaluations using DEA; returns to scale; weight restricted (multiplier) models; non-oriented or slack-based models, including in this edition two versions of non-controllable variable models and categorical variable models; longitudinal (panel) evaluations and the effectiveness dimension of performance evaluation. A new chapter then looks at new and advanced models of DEA, including super-efficiency, congestion DEA, network DEA, and dynamic network models. Mathematical formulations of various DEA models are placed in end-of-chapter appendices. Section II then looks at health care applications within particular settings, chapter-by-chapter, including hospitals, physician practices, nursing homes and health maintenance organizations (HMOs). Other chapters then explore home health care and home health agencies; dialysis centers, community mental health centers, community-based your services, organ procurement organizations, aging agencies and dental providers; DEA models to evaluate provider performance for specific treatments, including stroke, mechanical ventilation and perioperative services. A new chapter then examines international-country-based applications of DEA in health care in 16 different countries, along with OECD and multi-country studies. Most of the existing chapters in this section were expanded with recent applications. Included with the book is online access to a learning version of DEA Solver software, written by Professor Kaoru Tone, which can solve up to 50 DMUs for various DEA models listed in the User’s Guide at the end of the book.

Hugely relevant in today’s world of healthcare performance management, this comprehensive work applies the analytical framework of Data Envelopment Analysis methodology to provide health care administrators with specific tools for performance evaluation. Most important, the book provides health care practitioners and administrators with information of what is lacking in specific aspects of performance and then outlines the ways how these performance inadequacies can be improved.

The author is one of the prominent researchers in the field of Data Envelopment Analysis (DEA), a powerful data analysis tool that can be used in performance evaluation and benchmarking. This book is based upon the author’s years of research and teaching experiences. It is difficult to evaluate an organization’s performance when multiple performance metrics are present. The difficulties are further enhanced when the relationships among the performance metrics are complex and involve unknown tradeoffs. This book introduces Data Envelopment Analysis (DEA) as a multiple-measure performance evaluation and benchmarking tool. The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective. Conventional and new DEA approaches are presented and discussed using Excel spreadsheets — one of the most effective ways to analyze and evaluate decision alternatives. The user can easily develop and customize new DEA models based upon these spreadsheets. DEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. For example, a context-dependent DEA measures the relative attractiveness of similar operations/processes/products. Sensitivity analysis techniques can be easily applied, and used to identify critical performance measures. Two-stage network efficiency models can be utilized to study performance of supply chain. DEA benchmarking models extend DEA’s ability in performance evaluation. Various cross efficiency approaches are presented to provide peer evaluation scores. This book also provides an easy-to-use DEA software — DEAFrontier. This DEAFrontier is an Add-In for Microsoft® Excel and provides a custom menu of DEA approaches. This version of DEAFrontier is for use with Excel 97-2013 under Windows and can solve up to 50 DMUs, subject to the capacity of Excel Solver. It is an extremely powerful tool that can assist decision-makers in benchmarking and analyzing complex operational performance issues in manufacturing organizations as well as evaluating processes in banking, retail, franchising, health care, public services and many other industries.

Benchmarking--comparing one's performance against internal or external sources--can be the cornerstone of many performance improvement initiatives in health care organizations. These projects are carried out for a variety of reasons: to enhance patient outcomes, streamline patient care delivery systems, reduce costs, and comply with local, state, or national initiatives, including accreditation and health care reform requirements. For organizations to successfully accomplish these objectives, they must be able to benchmark their performance within their facilities, over time, and against other organizations. Benchmarking in Health Care is an updated edition of a JCR best seller that provides organizations with step-by-step instructions to successfully design and implement benchmarking projects in their facilities as part of comprehensive performance improvement programs. Topics covered include the following: * Defining internal and external benchmarking * Complying with Joint Commission and Joint Commission * International benchmarking-related standards * Planning and organizing a benchmarking project, including gaining leadership support and assembling and organizing a team * Choosing appropriate benchmarking partners * Identifying and using appropriate global benchmarking databases * Collecting, analyzing, benchmarking, and presenting data * Using benchmarking data to drive improvement * Case studies from organizations around the world that are using benchmarking projects as integral components of performance improvement initiatives Help your staff to design and implement a successful benchmarking project in your organization!

Performance Measurement is the first in a new series of an ongoing effort by the Institute of Medicine (IOM) to improve health care quality. Performance Measurement offers a comprehensive review of available measures and introduces a new framework to examine these measures against the six aims of the health care system: health care should be safe, effective, patient-centered, timely, efficient, and equitable. This new book also addresses the gaps in performance measurement and introduces the need for measures that are longitudinal, comprehensive, population-based, and patient-centered. This book is directed toward all concerned with improving the quality and performance of the nation's health care system in its multiple dimensions and in both the public and private sectors.

In a world where there is increasing demand for the performance of health providers to be measured, there is a need for a more strategic vision of the role that performance measurement can play in securing health system improvement. This volume meets this need by presenting the opportunities and challenges associated with performance measurement in a framework that is clear and easy to understand. It examines the various levels at which health system performance is undertaken, the technical instruments and tools available, and the implications using these may have for those charged with the governance of the health system. Technical material is presented in an accessible way and is illustrated with examples from all over the world. Performance Measurement for Health System Improvement is an authoritative and practical guide for policy makers, regulators, patient groups and researchers.

This book on poverty and health, jointly published by the OECD and WHO, sets out the essential components of a broad-scope “pro-poor” health approach for action within the health system and beyond it. It is for development practitioners in the area of health issues.

Written by Dr. Robert Camp, universally regarded as the founding father of the benchmark process, this bestseller is quite simply the definitive reference on the topic. Camp guides readers through the historic ten-step benchmarking process that he developed while at Xerox. This process is credited with reviving that company when it was floundering in 1979. Camp presents other examples of the process, including its dramatic application to L.L. Bean. He uses these examples to show managers how to relate benchmarking to their own circumstances and then provides them with expert strategy and tips so that they can efficiently and easily launch their own quest for best performance.