This textbook provides a detailed resource introducing the subdiscipline of mental health informatics. It systematically reviews the methods, paradigms, tools and knowledge base in both clinical and bioinformatics and across the spectrum from research to clinical care. Key foundational technologies, such as terminologies, ontologies and data exchange standards are presented and given context within the complex landscape of mental health conditions, research and care. The learning health system model is utilized to emphasize the bi-directional nature of the translational science associated with mental health processes. Descriptions of the data, technologies, paradigms and products that are generated by and used in each process and their limitations are discussed. Mental Health Informatics: Enabling a Learning Mental Healthcare System is a comprehensive introductory resource for students, educators and researchers in mental health informatics and related behavioral sciences. It is an ideal resource for use in a survey course for both pre- and post-doctoral training programs, as well as for healthcare administrators, funding entities, vendors and product developers working to make mental healthcare more evidence-based.

Mental Health Informatics offers a comprehensive examination of contemporary issues in mental health that focuses on the innovative use of computers and other information technology in support of patient care, education, services delivery, and research in the field of mental health services. This text deals with resources, devices, and formalized methods for optimizing the storage, retrieval, and management of information for problem solving and decision-making in mental health. Mental health informatics is an interdisciplinary field based upon computer and information sciences, the cognitive and decision sciences, public health and mental health (including epidemiology), and telecommunications. Researchers in informatics have discovered new methods and techniques to enhance health and mental health care, scientific and applied research, and education through information technology. The fourteen chapters are divided into four main parts, including: 1) an introduction to informatics, public health, and mental health; 2) an overview of the ethical, legal, services delivery, and organizational issues in data/records standards and technology adoption; 3) discusses research in today's online environment, addressing issues including research competencies, standards for literature reviews, constructing search strategies, and synthesizing findings; and 4) provides a discussion of the globalization of information and future issues in policy and practice in mental health informatics.

Mental Health Informatics offers a comprehensive examination of contemporary issues in mental health that focuses on the innovative use of computers and other information technology in support of patient care, education, services delivery, and research in the field of mental health services. This text deals with resources, devices, and formalized methods for optimizing the storage, retrieval, and management of information for problem solving and decision-making in mental health. Mental health informatics is an interdisciplinary field based upon computer and information sciences, the cognitive and decision sciences, public health and mental health (including epidemiology), and telecommunications. Researchers in informatics have discovered new methods and techniques to enhance health and mental health care, scientific and applied research, and education through information technology. The fourteen chapters are divided into four main parts, including: 1) an introduction to informatics, public health, and mental health; 2) an overview of the ethical, legal, services delivery, and organizational issues in data/records standards and technology adoption; 3) discusses research in today's online environment, addressing issues including research competencies, standards for literature reviews, constructing search strategies, and synthesizing findings; and 4) provides a discussion of the globalization of information and future issues in policy and practice in mental health informatics.

Informatics has the potential to transform the world of behavioral practitioners to enable them to assist people more easily. This book focuses on informatics-related topics that all disciplines connected to the behavioral health will find very useful for their day-to-day practice. This book provides an overview of the state of the art in behavioral health care informatics, addresses the challenges on the horizon, such as organizational issues, human-centered issues, educating healthcare executives about technology issues, educating clinicians about behavioral informatics systems, and consumer issues.

The purpose of this book is to be the premier resource for behavioural health clinicians who are considering adopting technology into their practice. Written by experts and policy makers in the field this book will be recognized as the gold standard. Other books currently in this field are extremely technical and are geared primarily to policy makers, researchers and informaticians. While this book will be a useful adjunct to that audience, it is primarily designed for the over .5 million behavioural health clinicians in the U.S. and the millions others around the world. Adoption of technology is slow in behavioural healthcare, and this book will enhance the adoption and utilization of various technologies in practice. I.T. vendors may also purchase this book for their customers.

Key concepts, frameworks, examples, and lessons learned in designing and implementing health information and communication technology systems in the developing world. The widespread usage of mobile phones that bring computational power and data to our fingertips has enabled new models for tracking and battling disease. The developing world in particular has become a proving ground for innovation in eHealth (using communication and technology tools in healthcare) and mHealth (using the affordances of mobile technology in eHealth systems). In this book, experts from a variety of disciplines—among them computer science, medicine, public health, policy, and business—discuss key concepts, frameworks, examples, and lessons learned in designing and implementing digital health systems in the developing world. The contributors consider such topics as global health disparities and quality of care; aligning eHealth strategies with government policy; the role of monitoring and evaluation in improving care; databases, patient registries, and electronic health records; the lifecycle of a digital health system project; software project management; privacy and security; and evaluating health technology systems.

This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time-frequency and complexity domain, and image processing techniques in different image modalities. Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human-computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expand our capabilities in medical diagnosis and prognosis. In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques in the health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introduce health professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.