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What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking. People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience—in particular, health and wellness-related experience—into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others. Neff and Nafus consider what's at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.
Self-tracking practices are part of many health and medical domains. The introduction of digital technologies such as smartphones, tablet computers, apps, social media platforms, dedicated patient support sites and wireless devices for medical monitoring has contributed to the expansion of opportunities for people to engage in self-tracking of their bodies and health and illness states. The contributors to this book cover a range of self-tracking techniques, contexts and geographical locations: fitness tracking using the wearable Fitbit device in the UK; English adolescent girls’ use of health and fitness apps; stress and recovery monitoring software and devices in a group of healthy Finns; self-monitoring by young Australian illicit drug users; an Italian diabetes self-care program using an app and web-based software; and ‘show-and-tell’ videos uploaded to the Quantified Self website about people’s experiences of self-tracking. Major themes running across the collection include the emphasis on self-responsibility and self-management on which self-tracking rationales and devices tend to rely; the biopedagogical function of self-tracking (teaching people about how to be both healthy and productive biocitizens); and the reproduction of social norms and moral meanings concerning health states and embodiment (good health can be achieved through self-tracking, while illness can be avoided or better managed). This book was originally published as a special issue of the Health Sociology Review.
Written by a groundbreaking figure of modern medical study, Tracking Medicine is an eye-opening introduction to the science of health care delivery, as well as a powerful argument for its relevance in shaping the future of our country. An indispensable resource for those involved in public health and health policy, this book uses Dr. Wennberg's pioneering research to provide a framework for understanding the health care crisis; and outlines a roadmap for real change in the future. It is also a useful tool for anyone interested in understanding and forming their own opinion on the current debate.
With the advent of digital devices and software, self-tracking practices have gained new adherents and have spread into a wide array of social domains. The Quantified Self movement has emerged to promote 'self-knowledge through numbers'. In this groundbreaking book Deborah Lupton critically analyses the social, cultural and political dimensions of contemporary self-tracking and identifies the concepts of selfhood and human embodiment and the value of the data that underpin them. The book incorporates discussion of the consolations and frustrations of self-tracking, as well as about the proliferating ways in which people's personal data are now used beyond their private rationales. Lupton outlines how the information that is generated through self-tracking is taken up and repurposed for commercial, governmental, managerial and research purposes. In the relationship between personal data practices and big data politics, the implications of self-tracking are becoming ever more crucial.
This book provides an empirical and philosophical investigation of self-tracking practices. In recent years, there has been an explosion of apps and devices that enable the data capturing and monitoring of everyday activities, behaviours and habits. Encouraged by movements such as the Quantified Self, a growing number of people are embracing this culture of quantification and tracking in the spirit of improving their health and wellbeing. The aim of this book is to enhance understanding of this fast-growing trend, bringing together scholars who are working at the forefront of the critical study of self-tracking practices. Each chapter provides a different conceptual lens through which one can examine these practices, while grounding the discussion in relevant empirical examples. From phenomenology to discourse analysis, from questions of identity, privacy and agency to issues of surveillance and tracking at the workplace, this edited collection takes on a wide, and yet focused, approach to the timely topic of self-tracking. It constitutes a useful companion for scholars, students and everyday users interested in the Quantified Self phenomenon.
The following anthology delivers sound analysis to the theoretical classification of the current societal phenomenon - between innovative, world changing and yet disruptive technology, as well as societal and cultural transformation. Lifelogging, digital self-tracking and the real-time chronicling of man’s lifetime, is not only a relevant societal topic in the world of research and academic science these days, but can also be found in literature, cultural pages of the written press and the theatre. The spectrum of Lifelogging ranges from sleep, mood, sex and work logging to Thing and Deathlogging. This leads to several questions: How does one live in a data society? Is “measured” man automatically also “better” man? And if so, what is the cost? Do new categories of reality or principles of social classification develop as a result of Lifelogging? How does the “social view” on things change? The authors in this anthology provide insightful answers to these pressing questions.
Wearable Technology in Medicine and Health Care provides readers with the most current research and information on the clinical and biomedical applications of wearable technology. Wearable devices provide applicability and convenience beyond many other means of technical interface and can include varying applications, such as personal entertainment, social communications and personalized health and fitness. The book covers the rapidly expanding development of wearable systems, thus enabling clinical and medical applications, such as disease management and rehabilitation. Final chapters discuss the challenges inherent to these rapidly evolving technologies. - Provides state-of-the-art coverage of the latest advances in wearable technology and devices in healthcare and medicine - Presents the main applications and challenges in the biomedical implementation of wearable devices - Includes examples of wearable sensor technology used for health monitoring, such as the use of wearables for continuous monitoring of human vital signs, e.g. heart rate, respiratory rate, energy expenditure, blood pressure and blood glucose, etc. - Covers examples of wearables for early diagnosis of diseases, prevention of chronic conditions, improved clinical management of neurodegenerative conditions, and prompt response to emergency situations
The rise of digital health technologies is, for some, a panacea to many of the medical and public health challenges we face today. This is the first book to articulate a critical response to the techno-utopian and entrepreneurial vision of the digital health phenomenon. Deborah Lupton, internationally renowned for her scholarship on the sociocultural and political aspects of medicine and health as well as digital technologies, addresses a range of compelling issues about the interests digital health represents, and its unintended effects on patients, doctors and how we conceive of public health and healthcare delivery. Bringing together social and cultural theory with empirical research, the book challenges apolitical approaches to examine the impact new technologies have on social justice, and the implication for social and economic inequalities. Lupton considers how self-tracking devices change the patient-doctor relationship, and how the digitisation and gamification of healthcare through apps and other software affects the way we perceive and respond to our bodies. She asks which commercial interests enable different groups to communicate more widely, and how the personal data generated from digital encounters are exploited. Considering the lived experience of digital health technologies, including their emotional and sensory dimensions, the book also assesses their broader impact on medical and public health knowledges, power relations and work practices. Relevant to students and researchers interested in medicine and public health across sociology, psychology, anthropology, new media and cultural studies, as well as policy makers and professionals in the field, this is a timely contribution on an important issue.
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
Physical activity has far-reaching benefits for physical, mental, emotional, and social health and well-being for all segments of the population. Despite these documented health benefits and previous efforts to promote physical activity in the U.S. population, most Americans do not meet current public health guidelines for physical activity. Surveillance in public health is the ongoing systematic collection, analysis, and interpretation of outcome-specific data, which can then be used for planning, implementation and evaluation of public health practice. Surveillance of physical activity is a core public health function that is necessary for monitoring population engagement in physical activity, including participation in physical activity initiatives. Surveillance activities are guided by standard protocols and are used to establish baseline data and to track implementation and evaluation of interventions, programs, and policies that aim to increase physical activity. However, physical activity is challenging to assess because it is a complex and multidimensional behavior that varies by type, intensity, setting, motives, and environmental and social influences. The lack of surveillance systems to assess both physical activity behaviors (including walking) and physical activity environments (such as the walkability of communities) is a critical gap. Implementing Strategies to Enhance Public Health Surveillance of Physical Activity in the United States develops strategies that support the implementation of recommended actions to improve national physical activity surveillance. This report also examines and builds upon existing recommended actions.