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.