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Mental and Social Health

Computers

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Full-Text Articles in Medicine and Health Sciences

“Sorry I Didn’T Hear You.” The Ethics Of Voice Computing And Ai In High Risk Mental Health Populations, Fazal Khan, Christopher Villongco Jan 2020

“Sorry I Didn’T Hear You.” The Ethics Of Voice Computing And Ai In High Risk Mental Health Populations, Fazal Khan, Christopher Villongco

Scholarly Works

This article examines the ethical and policy implications of using voice computing and artificial intelligence to screen for mental health conditions in low income and minority populations. Mental health is unequally distributed among these groups, which is further exacerbated by increased barriers to psychiatric care. Advancements in voice computing and artificial intelligence promise increased screening and more sensitive diagnostic assessments. Machine learning algorithms have the capacity to identify vocal features that can screen those with depression. However, in order to screen for mental health pathology, computer algorithms must first be able to account for the fundamental differences in vocal characteristics …


Computer Administered Safety Planning For Individuals At Risk For Suicide: Development And Usability Testing, Edwin D. Boudreaux, Gregory K. Brown, Barbara Stanley, Rajani S. Sadasivam, Carlos A. Camargo Jr, Ivan W. Miller Jun 2017

Computer Administered Safety Planning For Individuals At Risk For Suicide: Development And Usability Testing, Edwin D. Boudreaux, Gregory K. Brown, Barbara Stanley, Rajani S. Sadasivam, Carlos A. Camargo Jr, Ivan W. Miller

Rajani S. Sadasivam

BACKGROUND: Safety planning is a brief intervention that has become an accepted practice in many clinical settings to help prevent suicide. Even though it is quick compared to other approaches, it frequently requires 20 min or more to complete, which can impede adoption. A self-administered, Web-based safety planning application could potentially reduce clinician time, help promote standardization and quality, and provide enhanced ability to share the created plan. OBJECTIVE: The aim of this study was to design, build, and test the usability of a Web-based, self-administered safety planning application. METHODS: We employed a user-centered software design strategy led by a …