BookJessica D. Tenenbaum, Piper A. Ranallo, editors.
Summary: 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. Key foundational technologies, such as terminologies, ontologies and data exchange standards are all covered. 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.
Contents:
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.