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Health information technology is providing patients, clinicians, and researchers with access to data that will enable novel approaches to science and medicine. Digital health records (DHRs) are capable of being shared across different health care settings for the examination of possible trends and long-term changes in a patient's disease progression or status as well as the effectiveness of the health care delivery system. While prevalence of paper records remains high, there has been a rapid trend toward the digitalization of medical and health records in many countries. DHRs are widely viewed as essential for improving health, reducing medical errors, and lowering costs. However, given that these databases have the potential to house the complete medical and health information of individuals, the potential misuse, de-identification or breaching of this data may have serious implications. On July 20, 2015, the Institute of Medicine's Forum on Neuroscience and Nervous System Disorders held a public session at the 2015 Alzheimer's Association International Conference to assess the impact of DHRs on Alzheimer's disease (AD) research. An estimated 46.8 million people worldwide are currently living with dementia, and the prevalence is expected to double every year for the next 20 years. Given the few therapies currently available to treat the symptoms of AD, compared to other central nervous system disorders, participants explored how DHRs may be used to help improve clinical trial design and methodology for AD research. This report summarizes the presentations and discussions from this workshop.
As the largest generation in U.S. history - the population born in the two decades immediately following World War II - enters the age of risk for cognitive impairment, growing numbers of people will experience dementia (including Alzheimer's disease and related dementias). By one estimate, nearly 14 million people in the United States will be living with dementia by 2060. Like other hardships, the experience of living with dementia can bring unexpected moments of intimacy, growth, and compassion, but these diseases also affect people's capacity to work and carry out other activities and alter their relationships with loved ones, friends, and coworkers. Those who live with and care for individuals experiencing these diseases face challenges that include physical and emotional stress, difficult changes and losses in their relationships with life partners, loss of income, and interrupted connections to other activities and friends. From a societal perspective, these diseases place substantial demands on communities and on the institutions and government entities that support people living with dementia and their families, including the health care system, the providers of direct care, and others. Nevertheless, research in the social and behavioral sciences points to possibilities for preventing or slowing the development of dementia and for substantially reducing its social and economic impacts. At the request of the National Institute on Aging of the U.S. Department of Health and Human Services, Reducing the Impact of Dementia in America assesses the contributions of research in the social and behavioral sciences and identifies a research agenda for the coming decade. This report offers a blueprint for the next decade of behavioral and social science research to reduce the negative impact of dementia for America's diverse population. Reducing the Impact of Dementia in America calls for research that addresses the causes and solutions for disparities in both developing dementia and receiving adequate treatment and support. It calls for research that sets goals meaningful not just for scientists but for people living with dementia and those who support them as well. By 2030, an estimated 8.5 million Americans will have Alzheimer's disease and many more will have other forms of dementia. Through identifying priorities social and behavioral science research and recommending ways in which they can be pursued in a coordinated fashion, Reducing the Impact of Dementia in America will help produce research that improves the lives of all those affected by dementia.
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
Why is the American health care system so fragmented in the care it gives patients? This title approaches this question and more with a highly interdisciplinary approach. The articles included in the work address legal and regulatory issues, including laws that mandate separate payments for each provider.
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.
The Boston Process Approach to neuropsychological assessment, advanced by Edith Kaplan, has a long and well-respected history in the field. However, its theoretical and empirical support has not previously been assembled in an easily accessible format. This volume fills that void by compiling the historical, empirical, and practical teachings of the Process Approach. The reader will find a detailed history of the precursors to this model of thought, its development through its proponents such as Harold Goodglass, Nelson Butters, Laird Cermak, and Norman Geschwind, and its continuing legacy. The second section provides a guide to applying the Boston Process Approach to some of the field's most commonly used measures, such as the various Wechsler Intelligence Scales, the Trail Making Test, the California Verbal Learning Test, and the Boston Naming Test. Here, the reader will find a detailed history of the empirical evidence for test administration and interpretation using Boston Process Approach tenets. The final section of the book provides various perspectives on the implementation of the Boston Process Approach in various clinical and research settings and with specialized populations.
Provide outstanding healthcare while keeping within budget with this comprehensive, engagingly written guide Understanding Value-Based Healthcare is a succinct, interestingly written primer on the core issues involved in maximizing the efficacy and outcomes of medical care when cost is a factor in the decision-making process. Written by internationally recognized experts on cost- and value-based healthcare, this timely book delivers practical and clinically focused guidance on one of the most debated topics in medicine and medicine administration today. Understanding Value-Based Healthcare is divided into three sections: Section 1 Introduction to Value in Healthcare lays the groundwork for understanding this complex topic. Coverage includes the current state of healthcare costs and waste in the USA, the challenges of understanding healthcare pricing, ethics of cost-conscious care, and more. Section 2 Causes of Waste covers important issues such as variation in resource utilization, the role of technology diffusion, lost opportunities to deliver value, and barriers to providing high-value care. Section 3 Solutions and Tools discusses teaching cost awareness and evidence-based medicine, the role of patients, high-value medication prescribing, screening and prevention, incentives, and implementing value-based initiatives. The authors include valuable case studies within each chapter to demonstrate how the material relates to real-world situations faced by clinicians on a daily basis. .
The Shriver Report: A Woman’s Nation Takes on Alzheimer’s will be the first comprehensive multi-disciplinary look at these questions at this transformational moment. The Report will digest the current trends in thinking about Alzheimer’s, examine cutting-edge medical research, look at societal impacts, and include a groundbreaking and comprehensive national poll. It will feature original photography and personal essays by men and women – some from the public arena with names you know, some from everyday America – sharing their personal struggles with the disease as patients, caregivers and family members.