Alternative Title

Interactive interface for mitigating diagnostic bias in mental health care

Author

Ji Young Yun

Publication Date

2018-5

Document Type

Honors Project

Degree Name

Bachelor of Arts

Department

Computer Science

Advisors

R. Jordan Crouser

Keywords

Mental health care, Diagnosis, Interface, Diagnostic bias, DSM-5, Case studies, Mental health services, Mental illness-Case studies, Mental illness-Diagnosis, Diagnosis-Data processing, Discrimination against the mentally ill, Computer interfaces, Mental illness-Classification, Diagnostic and statistical manual of mental disorders

Abstract

This thesis documents the development and evaluation of an interactive web-based tool to help mental health clinicians mitigate specialization bias in their diagnostic practice. This tool was developed as part of the Computing for Mental Health Project in the Human Computation and Visualization (HCV) Lab, a multi-year collaboration with clinicians at the Justice Resource Institute’s GRIP Community Based Services program in Holyoke, Massachusetts.

Rights

2018 Ji Young Yun. Access limited to the Smith College community and other researchers while on campus. Smith College community members also may access from off-campus using a Smith College log-in. Other off-campus researchers may request a copy through Interlibrary Loan for personal use.

Language

English

Comments

43 pages : color illustrations. Includes bibliographical references.

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