With continuous improvement (kaizen) and Total Quality Control (TQC) becoming increasingly important to world class companies, there's an urgent need to build quality into every management decision. The tools presented in this book allow you to do just that. They represent the most important advance in quality deployment and project management in recent years. Unlike the seven traditional QC tools, which measure quality problems that already exist and are used by quality circles, these seven new QC tools make it possible for managers to plan wide-ranging and detailed TQC objectives throughout the entire organization. These tools, some borrowed from other disciplines and others developed specifically for quality management, include the relations diagram, the KJ method (affinity diagram), the systematic diagram, the matrix diagram, matrix data analysis, the process decision program chart (PDPC), and the arrow diagram. Together they will help you to: Expand the scope of quality efforts company-wide. Set up and manage the systems necessary to resolve major quality problems. Anticipate potential quality problems and actually eliminate defects before they happen. Never before available in English, Management for Quality Improvement is absolutely essential reading if you are in any area of project management, quality assurance, MIS, or TQC.

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.

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This book and CD-ROM clearly outline a nurse leader's role in quality improvement and offer simple instructions to improve patient outcomes through nurse education and engagement. In an easy-to-understand format, this guide explains how to engage staff, how to choose, measure, and benchmark nursing quality data, and how to use QI projects to achieve positive results."

Second in a series of publications from the Institute of Medicine's Quality of Health Care in America project Today's health care providers have more research findings and more technology available to them than ever before. Yet recent reports have raised serious doubts about the quality of health care in America. Crossing the Quality Chasm makes an urgent call for fundamental change to close the quality gap. This book recommends a sweeping redesign of the American health care system and provides overarching principles for specific direction for policymakers, health care leaders, clinicians, regulators, purchasers, and others. In this comprehensive volume the committee offers: A set of performance expectations for the 21st century health care system. A set of 10 new rules to guide patient-clinician relationships. A suggested organizing framework to better align the incentives inherent in payment and accountability with improvements in quality. Key steps to promote evidence-based practice and strengthen clinical information systems. Analyzing health care organizations as complex systems, Crossing the Quality Chasm also documents the causes of the quality gap, identifies current practices that impede quality care, and explores how systems approaches can be used to implement change.

Quality of care is a priority for U.S. Agency for International Development (USAID). The agency's missions abroad and their host country partners work in quality improvement, but a lack of evidence about the best ways to facilitate such improvements has constrained their informed selection of interventions. Six different methods - accreditation, COPE, improvement collaborative, standards-based management and recognitions (SBM-R), supervision, and clinical in-service training - currently make up the majority of this investment for USAID missions. As their already substantial investment in quality grows, there is demand for more scientific evidence on how to reliably improve quality of care in poor countries. USAID missions, and many other organizations spending on quality improvement, would welcome more information about how different strategies work to improve quality, when and where certain tools are most effective, and the best ways to measure success and shortcomings. To gain a better understanding of the evidence supporting different quality improvement tools and clarity on how they would help advance the global quality improvement agenda, the Institute of Medicine convened a 2-day workshop in January 2015. The workshop's goal was to illuminate these different methods, discussing their pros and cons. This workshop summary is a description of the presentations and discussions.