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As our nation enters a new era of medical science that offers the real prospect of personalized health care, we will be confronted by an increasingly complex array of health care options and decisions. The Learning Healthcare System considers how health care is structured to develop and to apply evidence-from health profession training and infrastructure development to advances in research methodology, patient engagement, payment schemes, and measurement-and highlights opportunities for the creation of a sustainable learning health care system that gets the right care to people when they need it and then captures the results for improvement. This book will be of primary interest to hospital and insurance industry administrators, health care providers, those who train and educate health workers, researchers, and policymakers. The Learning Healthcare System is the first in a series that will focus on issues important to improving the development and application of evidence in health care decision making. The Roundtable on Evidence-Based Medicine serves as a neutral venue for cooperative work among key stakeholders on several dimensions: to help transform the availability and use of the best evidence for the collaborative health care choices of each patient and provider; to drive the process of discovery as a natural outgrowth of patient care; and, ultimately, to ensure innovation, quality, safety, and value in health care.
The Institute of Medicine study Crossing the Quality Chasm (2001) recommended that an interdisciplinary summit be held to further reform of health professions education in order to enhance quality and patient safety. Health Professions Education: A Bridge to Quality is the follow up to that summit, held in June 2002, where 150 participants across disciplines and occupations developed ideas about how to integrate a core set of competencies into health professions education. These core competencies include patient-centered care, interdisciplinary teams, evidence-based practice, quality improvement, and informatics. This book recommends a mix of approaches to health education improvement, including those related to oversight processes, the training environment, research, public reporting, and leadership. Educators, administrators, and health professionals can use this book to help achieve an approach to education that better prepares clinicians to meet both the needs of patients and the requirements of a changing health care system.
America's health care system has become too complex and costly to continue business as usual. Best Care at Lower Cost explains that inefficiencies, an overwhelming amount of data, and other economic and quality barriers hinder progress in improving health and threaten the nation's economic stability and global competitiveness. According to this report, the knowledge and tools exist to put the health system on the right course to achieve continuous improvement and better quality care at a lower cost. The costs of the system's current inefficiency underscore the urgent need for a systemwide transformation. About 30 percent of health spending in 2009-roughly $750 billion-was wasted on unnecessary services, excessive administrative costs, fraud, and other problems. Moreover, inefficiencies cause needless suffering. By one estimate, roughly 75,000 deaths might have been averted in 2005 if every state had delivered care at the quality level of the best performing state. This report states that the way health care providers currently train, practice, and learn new information cannot keep pace with the flood of research discoveries and technological advances. About 75 million Americans have more than one chronic condition, requiring coordination among multiple specialists and therapies, which can increase the potential for miscommunication, misdiagnosis, potentially conflicting interventions, and dangerous drug interactions. Best Care at Lower Cost emphasizes that a better use of data is a critical element of a continuously improving health system, such as mobile technologies and electronic health records that offer significant potential to capture and share health data better. In order for this to occur, the National Coordinator for Health Information Technology, IT developers, and standard-setting organizations should ensure that these systems are robust and interoperable. Clinicians and care organizations should fully adopt these technologies, and patients should be encouraged to use tools, such as personal health information portals, to actively engage in their care. This book is a call to action that will guide health care providers; administrators; caregivers; policy makers; health professionals; federal, state, and local government agencies; private and public health organizations; and educational institutions.
With growing pressure on the NHS to keep staff up-to-date, committed and equipped with flexible skills profiles, "Learning for Health Improvement" offers creative ways to invest in people development. It explores the issues relating to work based learning, and argues it is much broader than mere skills acquisition and is wide ranging, collaborative and socially situated. Adopting a practical approach, the book makes use of quizzes, stories, dilemmas and audit tools to assist in comprehension and work-based application. "Learning for Health Improvement" is essential reading for managers and supervisors in healthcare, policy makers and shapers, and healthcare human resources and training managers. It will also be of great interest to healthcare lecturers and academics.
Today in the United States, the professional health workforce is not consistently prepared to provide high quality health care and assure patient safety, even as the nation spends more per capita on health care than any other country. The absence of a comprehensive and well-integrated system of continuing education (CE) in the health professions is an important contributing factor to knowledge and performance deficiencies at the individual and system levels. To be most effective, health professionals at every stage of their careers must continue learning about advances in research and treatment in their fields (and related fields) in order to obtain and maintain up-to-date knowledge and skills in caring for their patients. Many health professionals regularly undertake a variety of efforts to stay up to date, but on a larger scale, the nation's approach to CE for health professionals fails to support the professions in their efforts to achieve and maintain proficiency. Redesigning Continuing Education in the Health Professions illustrates a vision for a better system through a comprehensive approach of continuing professional development, and posits a framework upon which to develop a new, more effective system. The book also offers principles to guide the creation of a national continuing education institute.
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.
Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.
How do communities protect and improve the health of their populations? Health care is part of the answer but so are environmental protections, social and educational services, adequate nutrition, and a host of other activities. With concern over funding constraints, making sure such activities are efficient and effective is becoming a high priority. Improving Health in the Community explains how population-based performance monitoring programs can help communities point their efforts in the right direction. Within a broad definition of community health, the committee addresses factors surrounding the implementation of performance monitoring and explores the "why" and "how to" of establishing mechanisms to monitor the performance of those who can influence community health. The book offers a policy framework, applies a multidimensional model of the determinants of health, and provides sets of prototype performance indicators for specific health issues. Improving Health in the Community presents an attainable vision of a process that can achieve community-wide health benefits.
The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.
The World Health Organization defines the social determinants of health as "the conditions in which people are born, grow, work, live, and age, and the wider set of forces and systems shaping the conditions of daily life." These forces and systems include economic policies, development agendas, cultural and social norms, social policies, and political systems. In an era of pronounced human migration, changing demographics, and growing financial gaps between rich and poor, a fundamental understanding of how the conditions and circumstances in which individuals and populations exist affect mental and physical health is imperative. Educating health professionals about the social determinants of health generates awareness among those professionals about the potential root causes of ill health and the importance of addressing them in and with communities, contributing to more effective strategies for improving health and health care for underserved individuals, communities, and populations. Recently, the National Academies of Sciences, Engineering, and Medicine convened a workshop to develop a high-level framework for such health professional education. A Framework for Educating Health Professionals to Address the Social Determinants of Health also puts forth a conceptual model for the framework's use with the goal of helping stakeholder groups envision ways in which organizations, education, and communities can come together to address health inequalities.