To access this work you must either be on the Smith College campus OR have valid Smith login credentials.
On Campus users: To access this work if you are on campus please Select the Download button.
Off Campus users: To access this work from off campus, please select the Off-Campus button and enter your Smith username and password when prompted.
Non-Smith users: You may request this item through Interlibrary Loan at your own library.
Diagnosis checker : an interactive interface for mitigating diagnostic bias in mental health care
Interactive interface for mitigating diagnostic bias in mental health care
R. Jordan Crouser
Bachelor of Arts
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
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.
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.
Yun, Ji Young, "Diagnosis checker : an interactive interface for mitigating diagnostic bias in mental health care" (2018). Honors Project, Smith College, Northampton, MA.
Off Campus Download
43 pages : color illustrations. Includes bibliographical references.