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.

Ideal for use by institutions to integrate behavioral science training into their clinical- and bioinformatics programs

Precision Medicine and the Learning Health System.- What is Informatics?.- What is Mental Health?.- Epistemological Differences between the Behavioral and Biological Sciences.- What is Mental Health Informatics?.- Big Picture: Process View of Mental Health Care Delivery.- Introduction to Technologies for Data Acquisition in Mental Health.- Informatics Technologies for the Acquisition of Biological Data.- Informatics Technologies for the Acquisition of Psychological and Behavioral Data.- Informatics Technologies for the Acquisition of Interpersonal, Social and Environmental Data: The Exosome.- Informatics Technologies for the Acquisition of Population Level Data.- Introduction to Methods for Extracting Meaningful Information from Data in Mental Health.- Concept and Knowledge Representation to Transform Data into Information in Mental Health.- Bioinformatics Methods in Mental Health Research and Practice.- Psychometric Methods.- Computational Models and Analytic Methods.- Natural Language Processing in Mental Health Research and Practice.- Introduction to Paradigms for Knowledge Discovery in Mental Health.- Paradigms for Knowledge Discovery in Clinical and Research Data Repositories.- Biomarker Discovery.- Data Visualization.- Inferential Analysis and Predictive Modeling.- The Role of Biological Information in Mental Health Research and Practice.- Electronic Health Record (EHR) Systems in Mental Health.- Computerized Clinical Decision Support in Mental Health.- Informatics Technologies in Detection and Diagnosis of Mental Health Conditions.- Informatics Technologies in Prevention and Treatment of Mental Health Conditions.- Informatics Technologies for Care Coordination and Continuity of Care.- Informatics Technologies to Improve Patient Safety in Mental Health.- Registries.- Disseminating Newly Acquired Knowledge.- Ethical Legal and Social Issues (ELSI).- The Future of Mental Health Informatics.