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The successful implementation of digital health workforce education (DHWE) depends on the outcome of various factors at each learning and decision-making level. Evaluation frameworks can aid decision-making by helping to identify, understand and systematically analyse these factors. Currently, there is no consistent methodological approach to conduct a thorough evaluation of education technology in health workforce education (HWE). This background research report proposes a Health Workforce Education Technology Assessment (HETA) that is derived from and based on the principles of a Health Technology Assessment. HETA aims to improve DHWE by establishing its key components to enable its effective and sustainable implementation.
Bioterrorism, drug-resistant disease, transmission of disease by global travel . . . there's no shortage of challenges facing America's public health officials. Men and women preparing to enter the field require state-of-the-art training to meet these increasing threats to the public health. But are the programs they rely on provide the high caliber professional training they require? Who Will Keep the Public Healthy? provides an overview of the past, present, and future of public health education, assessing its readiness to provide the training and education needed to prepare men and women to face 21st century challenges. Advocating an ecological approach to public health, the Institute of Medicine examines the role of public health schools and degree-granting programs, medical schools, nursing schools, and government agencies, as well as other institutions that foster public health education and leadership. Specific recommendations address the content of public health education, qualifications for faculty, availability of supervised practice, opportunities for cross-disciplinary research and education, cooperation with government agencies, and government funding for education. Eight areas of critical importance to public health education in the 21st century are examined in depth: informatics, genomics, communication, cultural competence, community-based participatory research, global health, policy and law, and public health ethics. The book also includes a discussion of the policy implications of its ecological framework.
The Future of Nursing explores how nurses' roles, responsibilities, and education should change significantly to meet the increased demand for care that will be created by health care reform and to advance improvements in America's increasingly complex health system. At more than 3 million in number, nurses make up the single largest segment of the health care work force. They also spend the greatest amount of time in delivering patient care as a profession. Nurses therefore have valuable insights and unique abilities to contribute as partners with other health care professionals in improving the quality and safety of care as envisioned in the Affordable Care Act (ACA) enacted this year. Nurses should be fully engaged with other health professionals and assume leadership roles in redesigning care in the United States. To ensure its members are well-prepared, the profession should institute residency training for nurses, increase the percentage of nurses who attain a bachelor's degree to 80 percent by 2020, and double the number who pursue doctorates. Furthermore, regulatory and institutional obstacles-including limits on nurses' scope of practice-should be removed so that the health system can reap the full benefit of nurses' training, skills, and knowledge in patient care. In this book, the Institute of Medicine makes recommendations for an action-oriented blueprint for the future of nursing.
This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.
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.
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.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
"The Nation has lost sight of its public health goals and has allowed the system of public health to fall into 'disarray'," from The Future of Public Health. This startling book contains proposals for ensuring that public health service programs are efficient and effective enough to deal not only with the topics of today, but also with those of tomorrow. In addition, the authors make recommendations for core functions in public health assessment, policy development, and service assurances, and identify the level of government--federal, state, and local--at which these functions would best be handled.
The Future of the Nursing Workforce in the United States: Data, Trends and Implications provides a timely, comprehensive, and integrated body of data supported by rich discussion of the forces shaping the nursing workforce in the US. Using plain, jargon free language, the book identifies and describes the key changes in the current nursing workforce and provide insights about what is likely to develop in the future. The Future of the Nursing Workforce offers an in-depth discussion of specific policy options to help employers, educators, and policymakers design and implement actions aimed at strengthening the current and future RN workforce. The only book of its kind, this renowned author team presents extensive data, exhibits and tables on the nurse labor market, how the composition of the workforce is evolving, changes occurring in the work environment where nurses practice their profession, and on the publics opinion of the nursing profession.