This innovative book focuses on potential, limitations, and recommendations for the digital mental health landscape. Authors synthesize existing literature on the validity of digital health technologies, including smartphones apps, sensors, chatbots and telepsychiatry for mental health disorders. They also note that collecting real-time biological information is usually better than just collect filled-in forms, and that will also mitigate problems related to recall bias in clinical appointments. Limitations such as confidentiality, engagement and retention rates are moreover discussed. Presented in fifteen chapters, the work addresses the following questions: may smartphones and sensors provide more accurate information about patients’ symptoms between clinical appointments, which in turn avoid recall bias? Is there evidence that digital phenotyping could help in clinical decisions in mental health? Is there scientific evidence to support the use of mobile interventions in mental health? Digital Mental Health will help clinicians and researchers, especially psychiatrists and psychologists, to define measures and to determine how to test apps or usefulness, feasibility and efficacy in order to develop a consensus about reliability. These professionals will be armed with the latest evidence as well as prepared to a new age of mental health.

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

Personalized Psychiatry presents the first book to explore this novel field of biological psychiatry that covers both basic science research and its translational applications. The book conceptualizes personalized psychiatry and provides state-of-the-art knowledge on biological and neuroscience methodologies, all while integrating clinical phenomenology relevant to personalized psychiatry and discussing important principles and potential models. It is essential reading for advanced students and neuroscience and psychiatry researchers who are investigating the prevention and treatment of mental disorders. - Combines neurobiology with basic science methodologies in genomics, epigenomics and transcriptomics - Demonstrates how the statistical modeling of interacting biological and clinical information could transform the future of psychiatry - Addresses fundamental questions and requirements for personalized psychiatry from a basic research and translational perspective

This volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt ‘Biomarkers’ for prevention, diagnosis, and treatment responses in mental health conditions. It meshes together state of the art research from international renowned pre-clinical and clinical scientists to illustrate how the fields of anxiety disorders, depression, psychotic disorders, and autism spectrum disorder have advanced in recent years.

Inside today's data-driven personalized medicine, and the time, effort, and information required from patients to make it a reality Medicine has been personal long before the concept of “personalized medicine” became popular. Health professionals have always taken into consideration the individual characteristics of their patients when diagnosing, and treating them. Patients have cared for themselves and for each other, contributed to medical research, and advocated for new treatments. Given this history, why has the notion of personalized medicine gained so much traction at the beginning of the new millennium? Personalized Medicine investigates the recent movement for patients’ involvement in how they are treated, diagnosed, and medicated; a movement that accompanies the increasingly popular idea that people should be proactive, well-informed participants in their own healthcare. While it is often the case that participatory practices in medicine are celebrated as instances of patient empowerment or, alternatively, are dismissed as cases of patient exploitation, Barbara Prainsack challenges these views to illustrate how personalized medicine can give rise to a technology-focused individualism, yet also present new opportunities to strengthen solidarity. Facing the future, this book reveals how medicine informed by digital, quantified, and computable information is already changing the personalization movement, providing a contemporary twist on how medical symptoms or ailments are shared and discussed in society. Bringing together empirical work and critical scholarship from medicine, public health, data governance, bioethics, and digital sociology, Personalized Medicine analyzes the challenges of personalization driven by patient work and data. This compelling volume proposes an understanding that uses novel technological practices to foreground the needs and interests of patients, instead of being ruled by them.

Technology and Mental Health provides mental health clinicians with expert, practical, clinical advice on the questions and considerations associated with the adoption of mental health technology tools in the computer age. Increasingly, clinicians want to use technology to provide clients support through smartphones and mobile applications or to reach clients in remote or rural areas. However, using these tools in practice raises many practical and ethical questions. The book explains current technological developments in therapy, including mobile apps, telemental health, and virtual reality programs. Each chapter gives real-world guidance on adopting and using technology interventions, and the book spans a wide range of populations. Providers are introduced to the evidence supporting various technology-based interventions and areas for future development. Combining theory, research, and case studies, this practical guide teaches clinicians how to integrate technology into therapeutic interventions with clients.