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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...
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...
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.
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.
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.
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.
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.
Context Sensitive Health Informatics
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 Aug...
The Ethical Governance of Artificial Intelligence and Machine Learning in Healthcare
This book explores the ethical governance of Artificial Intelligence (AI) & Machine Learning (ML) in healthcare. AI/ML usage in healthcare as well as our daily lives is not new. However, the direct, and oftentimes long-term effects of current technologies, in addition to the onset of future innovations, have caused much debate about the safety of AI/ML. On the one hand, AI/ML has the potential to provide effective and efficient care to patients, and this sways the argument in favor of continuing to use AI/ML; but on the other hand, the dangers (including unforeseen future consequences of the further development of the technology) leads to vehement disagreement with further AI/ML usage. Due to its potential for beneficial outcomes, the book opts to push for ethical AI/ML to be developed and examines various areas in healthcare, such as big data analytics and clinical decision-making, to uncover and discuss the importance of developing ethical governance for AI/ML in this setting.
Driving Quality in Informatics: Fulfilling the Promise
Although the data in healthcare comes from and relates to patients, it has generally been the clinician and not the patient who has been seen as the end-user of health information or health information technology. This seems set to change though, as the evolution of new online tools and mobile applications has led to the growth of a grass-roots effort from patients to change their role and involvement in their own health management. This book presents papers from the Information Technology and Communications in Health conference, ITCH 2015, held in Victoria, Canada, in February 2015. The theme of this conference is patient-centered care, and not only were contributors asked to consider the role and voice of the patient, but patients themselves were invited to contribute papers describing their experiences in healthcare and their use of their own data. The papers included here reflect not only informatics innovations in the field, but also explore how to involve patients in the design process, implementation and long-term use of health information systems, and will be of interest to researchers, health practitioners and patients alike.
