The Quality Improvement Field Guide: Achieving and Maintaining Value in Your Organization covers the key aspects that quality professionals must know to attain mastery in their field. After reading this book, readers will not only gain an understanding of the key quality improvement concepts, but will gain the practical insight required to implemen

Can any subject inspire less excitement than "data quality"? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality. Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, describes the most important data quality problems facing the typical organization, and outlines what an organization must do to improve. It consists of 36 short chapters in an easy-to-use field guide format. Each chapter describes a single issue and how to address it. The book begins with sections that describe why leaders, whether CIOs, CFOs, or CEOs, should be concerned with data quality. It explains the pros and cons of approaches for addressing the issue. It explains what those organizations with the best data do. And it lays bare the social issues that prevent organizations from making headway. "Field tips" at the end of each chapter summarize the most important points. Allows readers to go directly to the topic of interest Provides web-based material so readers can cut and paste figures and tables into documents within their organizations Gives step-by-step instructions for applying most techniques and summarizes what "works"

This new edition of this bestselling guide offers an integrated approach to process improvement that delivers quick and substantial results in quality and productivity in diverse settings. The authors explore their Model for Improvement that worked with international improvement efforts at multinational companies as well as in different industries such as healthcare and public agencies. This edition includes new information that shows how to accelerate improvement by spreading changes across multiple sites. The book presents a practical tool kit of ideas, examples, and applications.

Efforts to improve the quality of healthcare have failed to achieve a meaningful and sustainable improvement. Patients continue to experience fragmented, inconvenient, and unsafe care while providers are increasingly becoming overburdened with administrative tasks. The need for change is clear. Healthcare professionals need to take on new leadership roles in quality improvement (QI) projects to effect real change. The Quality Improvement Challenge in Healthcare equips readers with the skills and knowledge required to develop and implement successful operational improvement initiatives. Designed for healthcare providers seeking to apply QI in practice, this valuable resource delivers step-by-step guidance on improvement methodology, team dynamics, and organizational change management in the context of real-world healthcare environments. The text integrates the principles and practices of Lean Six Sigma, human-centered design, and neurosciences to present a field-tested framework. Detailed yet accessible chapters cover topics including identifying and prioritizing the problem, developing improvement ideas, defining the scope of the project, organizing the QI team, implementing and sustaining the improvement, and much more. Clearly explaining each step of the improvement process, this practical guide: Presents the material in a logical sequence, gradually introducing each step of the process with clearly defined workflow templates Features a wealth of examples demonstrating QI application, and case studies emphasizing key concepts to highlight successful and unsuccessful improvement initiatives Includes end-of-chapter exercises and review questions for assessing and reinforcing comprehension Offers practical tips and advice on communicating effectively, leading a team meeting, conducting a tollgate review, and motivating people to change Leading QI projects requires a specific set of skills not taught in medical school. The Quality Improvement Challenge in Healthcare bridges this gap for experienced and trainee healthcare providers, and serves as an important reference for residency program directors, physician educators, healthcare leaders, and health-related professional organizations.

Publisher Description

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

This book takes the reader through the process to plan, deliver, and follow-up a weeklong Lean Quality Improvement event, usually termed a ‘Rapid Improvement Event’ or ‘Rapid Process Improvement Workshop (RPIW).’ Drawing on the experience of conducting over 100 of these workshops, the book gives readers the information to plan and run their own event. It describes how RPIWs fit in to wider improvement processes and how the reader can maximize these processes in their own organization. These weeklong improvement events are popular in health and social care, but there are no textbooks available to support them. There are several books that describe the use of shorter Kaizen events in health care, but none that describe the process of delivering weeklong events. The events have a rhythm specific to the one-week format, and the book seeks to help people to make use of best practice and to avoid common problems. Based on the experiences of the authors, this book includes an introduction to Lean concepts linked to the relevant part of the process description; examples and templates of forms that can be used in workshops; and photographs of actual events.