In addition to social medias prevalence for personal use, online networking tools are also gaining momentum in the healthcare field. Health information and patient discussion are embracing these technologies to create a more ubiquitous communication platform. Social Media and Mobile Technologies for Healthcare provides insight on the tools that are integral to understanding and implementing emerging technologies in health-related fields. With an ever-growing presence of patients and health professionals on social networking sites, this book will provide insight into the effect of communication technologies on health services. This publication is useful for professionals and researchers in health informatics, as well as students, practitioners, clinicians, and academics.
This book offers a comprehensive report on the technological aspects of Mobile Health (mHealth) and discusses the main challenges and future directions in the field. It is divided into eight parts: (1) preventive and curative medicine; (2) remote health monitoring; (3) interoperability; (4) framework, architecture, and software/hardware systems; (5) cloud applications; (6) radio technologies and applications; (7) communication networks and systems; and (8) security and privacy mechanisms. The first two parts cover sensor-based and bedside systems for remotely monitoring patients’ health condition, which aim at preventing the development of health problems and managing the prognosis of acute and chronic diseases. The related chapters discuss how new sensing and wireless technologies can offer accurate and cost-effective means for monitoring and evaluating behavior of individuals with dementia and psychiatric disorders, such as wandering behavior and sleep impairments. The following two parts focus on architectures and higher level systems, and on the challenges associated with their interoperability and scalability, two important aspects that stand in the way of the widespread deployment of mHealth systems. The remaining parts focus on telecommunication support systems for mHealth, including radio technologies, communication and cloud networks, and secure health-related applications and systems. All in all, the book offers a snapshot of the state-of-art in mHealth systems, and addresses the needs of a multidisciplinary audience, including engineers, computer scientists, healthcare providers, and medical professionals, working in both academia and the industry, as well as stakeholders at government agencies and non-profit organizations.
This book presents a state-of-the-art overview of the available and emerging mobile technologies and explores how these technologies can serve as support tools in enhancing user participation in health care and promoting well-being in the daily lives of individuals, thereby reducing the burden of chronic disease on the health care system. The analysis is supported by presentation of a variety of case studies on the ways in which mobile technologies can be used to increase connectivity with health care providers and relevant others in order to promote healthy lifestyles and improve service provision. Detailed information is also provided on a sample project in which a set of tools has been used by teens at risk of obesity to record their sociopsychological environment and everyday health routines. Specifically, it is evaluated whether video diaries, created using a mobile platform and shared in real time via a social network, assist subjects in confronting obesity as a chronic disease. The book will be of interest to all who wish to understand the impressive potential of mobile health or to conduct research in the field.
Health care is in the midst of a dramatic transformation in the United States. Spurred by technological advances, economic imperatives, and governmental policies, information technologies are rapidly being applied to health care in an effort to improve access, enhance quality, and decrease costs. At the same time, the use of technologies by the consumers of health care is changing how people interact with the health care system and with health information. These changes in health care have the potential both to exacerbate and to diminish the stark disparities in health and well-being that exist among population groups in the United States. If the benefits of technology flow disproportionately to those who already enjoy better coverage, use, and outcomes than disadvantaged groups, heath disparities could increase. But if technologies can be developed and implemented in such a way to improve access and enhance quality for the members of all groups, the ongoing transformation of health care could reduce the gaps among groups while improving health care for all. To explore the potential for further insights into, and opportunities to address, disparities in underserved populations the National Academies of Sciences, Engineering, and Medicine held a workshop in October 2014. The workshop focused on (1) how communities are using digital health technologies to improve health outcomes for racial and ethnic minority populations, (2) how community engagement can improve access to high-quality health information for members of these groups, and (3) on models of successful technology-based strategies to reduce health disparities. This report summarizes the presentations and discussions at the workshop.
Technology and Health: Promoting Attitude and Behavior Change examines how technology can be used to promote healthier attitudes and behavior. The book discusses technology as a tool to deliver media content. This book synthesizes theory-driven research with implications for research and practice. It covers a range of theories and technology in diverse health contexts. The book covers why and how specific technologies, such as virtual reality, augmented reality, mobile games, and social media, are effective in promoting good health. The book additionally suggests how technology should be designed, utilized, and evaluated for health interventions. - Includes new technologies to improve both mental and physical health - Examines technologies in relation to cognitive change - Discusses persuasion as a tool for behavioral and attitudinal changes - Provides theoretical frameworks for the effective use of technology
To explore how mobile technology can be employed to enhance the lives of older adults, the Board on Behavioral, Cognitive, and Sensory Sciences of the National Academies of Sciences, Engineering, and Medicine commissioned 6 papers, which were presented at a workshop held on December 11 and 12, 2019. These papers review research on mobile technologies and aging, and highlight promising avenues for further research.
This book explains how telemedicine can offer solutions capable of improving the care and survival rates of cancer patients and can also help patients to live a normal life in spite of their condition. Different fields of application – community, hospital and home based – are examined, and detailed attention is paid to the use of tele-oncology in rural/extreme rural settings and in developing countries. The impact of new technologies and the opportunities afforded by the social web are both discussed. The concluding chapters consider eLearning in relation to cancer care and assess the scope for education to improve prevention. No medical condition can shatter people’s lives as cancer does today and the need to develop strategies to reduce the disease burden and improve quality of life is paramount. Readers will find this new volume in Springer’s TELe Health series to be a rich source of information on the important contribution that can be made by telemedicine in achieving these goals.
A quick reference guide to the selection and interpretation of more than 450 commonly used diagnostic tests COVERS: Basic principles of diagnostic testing, common blood, urine and cerebrospinal fluid laboratory tests, therapeutic drug monitoring, microbiologic test selection and interpretation and diagnostic imaging tests by body system , electrocardiography, and differential diagnosis tables & algorithms Tests used in internal medicine, pediatrics, surgery, neurology and obstetrics and gynecology INCLUDES: Costs and risks of diagnostic tests Evidence-based information Diseases associated with abnormal test results, including test sensitivities Full literature citations with PubMed (PMID) numbers included for each reference More than 24 NEW clinical laboratory test entries, 6 NEW differential diagnosis tables 5 NEW diagnostic algorithms NEW sections on point-of-care testing, provider-performed microscopy, pharmacogenetic testing, and diagnostic echocardiography
The only current book on the topic, Telepsychiatry and Health Technologies: A Guide for Mental Health Professionals is a practical, comprehensive, and evidence-based guide to patient-centered clinical care delivered in whole or in part by technological devices and applications. Not a technology-centered "health informatics" book, but rather one that describes basic technological concerns and emphasizes clinical issues and workflows, it is designed for psychiatrists, psychologists, and other mental health clinicians who seek to learn the modes, models, and methods of telepsychiatry. More than 30 practitioners of telepsychiatry across the core mental health disciplines were involved in development of the text, contributing knowledge and clinical examples. Rich with case studies and hands-on guidance, the book introduces strategies, then clearly illustrates how to put them into practice. The editors believe that psychiatry increasingly will focus on the treatment of populations, and that technology offers the best hope of doing so efficiently and effectively.Careful thought went into the book's conception and design, resulting in a marriage of structure and content that meets the needs of today's clinicians: The editors employed a unique process of manuscript development, first outlining each chapter in its entirety, then assigning sections to contributors selected for their specific clinical experience and therapeutic expertise. The result is a text that flows logically and creates synergy across chapters without duplication. The book provides "how-to" guidance on setting up a new telepsychiatry practice or integrating technologies into a current practice, covering critically important topics such as data collection, security, and electronic health records. Technologies addressed include telephony, smartphones, apps, e-mail, secure texting, and videoconferencing, all of which are increasingly being used in the assessment and treatment of patients with psychiatric disorders. More than 30 case examples of patients or programs are included, illustrating the range of clinical techniques that can be used and the types of patient that can be treated using available technologies -- whether in person, online, or in a hybrid form of care combining both modalities. Every chapter concludes with a summary of major learning objectives or findings covered. Telepsychiatry and Health Technologies: A Guide for Mental Health Professionals is destined to become a core resource in the training of mental health professionals from all disciplines, as well as an indispensable reference for those already integrating new technologies into their practices.
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
