Mental health informatics : enabling a learning mental healthcare system / Jessica D. Tenenbaum, Piper A. Ranallo, editors.

Format:

Book

Contributor:

Tenenbaum, Jessica D., editor.

Ranallo, Piper A., editor.

Series:

Health informatics 2197-3741

Health informatics, 2197-3741

Language:

English

Subjects (All):

Mental health--Data processing.

Mental health.

Genre:

Electronic books.

Physical Description:

1 online resource.

Place of Publication:

Cham, Switzerland : Springer, 2021.

System Details:

text file

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.

Notes:

Includes index.

Online resource; title from PDF title page (SpringerLink, viewed November 29, 2021).

ISBN:

9783030705589

3030705587

OCLC:

1285871267

Access Restriction:

Restricted for use by site license.