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Big Data, Big Challenges: A Healthcare Perspective
This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare.
Safety and Risk Management for Health Information Technology
Safety and Risk Management for Health Information Technology provides health information technology (HIT) professionals and clinical informatics professionals with information and approaches on how to prevent HIT safety issues from arising. In addition, the book helps individuals retrospectively analyze HIT related medical errors and develop an effective eHealth safety strategy that is specific to their organization (e.g,. vendor, regional health authority) and context (i.e., acute care, home care, long-term care, public health/community health setting). Notwithstanding the importance of the area, most books don’t focus on helping vendors, healthcare organizations, and managers in developi...
Health Professionals' Education in the Age of Clinical Information Systems, Mobile Computing and Social Networks
Health Professionals' Education in the Age of Clinical Information Systems, Mobile Computing and Social Networks addresses the challenges posed by information and communication technology to health professionals’ education, and the lessons learned from field experiences and research. This book is divided in three parts: "the changing landscape of information and communication technology in health care", in which it discusses how information and communication technology is transforming health care and the implications of these changes for health professions education; "experiences from the field", with real-life examples of health professionals’ education in and for the digital era; and "...
Social Media and Mobile Technologies for Healthcare
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.
Usability and Health Care Technology
Usability and Health Care Technology details and describes how methods from usability engineering can be effectively applied to improve the usability of healthcare information systems and technologies. The book shows how these methods can be used to design, implement, and test health information systems and applications that will lead to more effective, efficient, and safe systems that better support healthcare work. Readers will gain an understanding of how usability engineering can be applied in healthcare informatics, as the book details a proven, practical, and effective methodological framework for applying these methods to improve the design, implementation, and optimization of healthc...
Multiple Perspectives on Artificial Intelligence in Healthcare
This book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare. It does so by approaching the topic from multiple perspectives, e.g. the nursing, consumer, medical practitioner, healthcare manager, and data analyst perspective. It covers human factors research, discusses patient safety issues, and addresses ethical challenges, as well as important policy issues. By reporting on cutting-edge research and hands-on experience, the book offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes. It will also benefit students and researchers whose work involves artificial intelligence-related research issues in healthcare.
International Perspectives in Health Informatics
Health information systems are now widely used around the world to raise the quality of healthcare, reduce medical error rates and improve access to health information and services, and health informatics is now recognized as a separate and unique area of disciplinary study and professional practice. This book presents the proceedings of the 2011 Information Technology and Communications in Health (ITCH) conference, in Victoria, BC, Canada in February 2011. Health informatics issues are not unique to one country or one organization and with its theme of International Perspectives, this conference provides a unique opportunity to share the lessons learned by both developed and developing coun...
Human, Social, and Organizational Aspects of Health Information Systems
Human, Social, and Organizational Aspects of Health Information Systems offers an evidence-based management approach to issues associated with the human and social aspects of designing, developing, implementing, and maintaining health information systems across a healthcare organization?specific to an individual, team, organizational, system, and international perspective. Integrating knowledge from multiple levels, this book will benefit scholars and practitioners from the medical information, health service management, information technology arenas.
Context Sensitive Health Informatics: Many Places, Many Users, Many Contexts, Many Uses
Context is key in the design, implementation and evaluation of health information technology. Healthcare systems around the world are in transition; adopting technologies to deal with the problems of aging populations, increased numbers of chronically ill patients and limited resources. But a 'one size fits all' approach is not the answer, and may limit those local healthcare system innovations that are so crucial to the development of health informatics. Even the most advanced systems will fail to achieve the desired outcomes if context is not taken into account. This book presents the proceedings of the Context Sensitive Health Informatics (CSHI) conference, held in Curitiba, Brazil, in Au...
Big Data, Big Challenges
This is the first book offering a comprehensive, yet concise, view on both the challenges and opportunities related to the use of big data in health care. The different chapters report on different perspectives: from health management to patient safety; from the human factor perspective to the ethical and economic ones, and more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the work presented not only sheds light on the problems of big data, but also paves the way for possible solutions and future research directions. The book offers a useful reference guide to health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, helping them in their decision making processes, as well as to students and academicians learning or dealing with data science related research issues in healthcare.
