A guide to quality improvement methods from Healthcare Quality Improvement Partnership (HQIP) brings together twelve quality improvement (QI) methods, providing an overview of each and practical advice on how and when to implement them, with illustrative case examples. QI methods covered include clinical audit; Plan, Do, Study, Act; model for improvement; LEAN/Six Sigma; performance benchmarking, process mapping and statistical process control and it is aimed at all professionals with an interest in QI. The purpose of this guidance is to signpost those working within, leading, commissioning and using healthcare services to a broad range of quality improvement methods. It should be especially useful to those putting together quality improvement programmes.

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.

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.

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.

This volume, developed by the Observatory together with OECD, provides an overall conceptual framework for understanding and applying strategies aimed at improving quality of care. Crucially, it summarizes available evidence on different quality strategies and provides recommendations for their implementation. This book is intended to help policy-makers to understand concepts of quality and to support them to evaluate single strategies and combinations of strategies.

Do interventions improve health outcomes? This volume provides a model and road map to answer clinical questions related to intervention effectiveness research, quality improvement, and program evaluations. It offers clear and simple guidance for all phases of a clinical inquiry projects from planning through dissemination and communication of results and findings. The book emphasizes the value and importance of leveraging existing data to advance research, practice, and quality improvement efforts. Intervention and Effectiveness Research is a practical guide for organizing and navigating the intersections of research and practice. Structure, process and outcome worksheets for every step are provided together with examples from diverse settings and populations to lead readers through the process of implementing their own projects. The author guides readers through the process of designing, implementing, and evaluating project s. This book is intended for teachers of DNP and PhD programs in nursing and other disciplines, their students, and healthcare leaders who need to leverage data to demonstrate care quality and outcomes.

This review incorporates the views and visions of 2,000 clinicians and other health and social care professionals from every NHS region in England, and has been developed in discussion with patients, carers and the general public. The changes proposed are locally-led, patient-centred and clinically driven. Chapter 2 identifies the challenges facing the NHS in the 21st century: ever higher expectations; demand driven by demographics as people live longer; health in an age of information and connectivity; the changing nature of disease; advances in treatment; a changing health workplace. Chapter 3 outlines the proposals to deliver high quality care for patients and the public, with an emphasis on helping people to stay healthy, empowering patients, providing the most effective treatments, and keeping patients as safe as possible in healthcare environments. The importance of quality in all aspects of the NHS is reinforced in chapter 4, and must be understood from the perspective of the patient's safety, experience in care received and the effectiveness of that care. Best practice will be widely promoted, with a central role for the National Institute for Health and Clinical Excellence (NICE) in expanding national standards. This will bring clarity to the high standards expected and quality performance will be measured and published. The review outlines the need to put frontline staff in control of this drive for quality (chapter 5), with greater freedom to use their expertise and skill and decision-making to find innovative ways to improve care for patients. Clinical and managerial leadership skills at the local level need further development, and all levels of staff will receive support through education and training (chapter 6). The review recommends the introduction of an NHS Constitution (chapter 7). The final chapter sets out the means of implementation.

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.

Healthcare Organizations offer significant opportunities for change and improvement in their overall performance. Hospitals and clinics are generally large, complex, and inefficient, and need serious development in process workflow and management systems, which will ultimately lead to better patient and financial outcomes. The National Academy of Medicine has stated that hospital systems are broken, and that they must begin by "... improving hospital efficiency and patient flow, and using operational management methods and information technologies." In fact, costs and quality are two of the important aspects of the "triple aim" in healthcare. One area that offers significant potential for improvement is through the application of performance improvement methods to patient and process flows. Performance improvement has a significant impact on a hospital’s over financial and strategic performance. Performance improvement involves the deployment of quantitative and scientific methods to model and influence the functioning of organizations. Performance improvement professionals are tasked with managing a variety of activities, such as deploying new information technologies, serving as project managers for construction events, re-engineering departmental process workflow, eliminating bottlenecks, and improving the flow and movement of patients between resource-intensive clinical areas. All of these are high risk, and require use of advanced, sophisticated methods to improve efficiency and quality, while minimizing disruptions from change. This updated edition is a comprehensive and concise guide to performance improvement in healthcare. It describes the management engineering principles focused on designing optimal management and information systems and processes. Case studies and examples are integrated throughout all chapters.