Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning

Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning

Background: Optimum efficiency and responsiveness to callers of mental health helplines can only be achieved if call priority is accurately identified. Currently, call operators making a triage assessment rely heavily on their clinical judgment and experience. Due to the significant morbidity and mo...

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Bibliographic Details
Main Authors: Rajib Rana, Niall Higgins, Kazi Nazmul Haque, Kylie Burke, Kathryn Turner, Terry Stedman
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Nursing Reports
Subjects:
artificial intelligence
automated distress screen
deep learning
distress
mental health
spontaneous speech
Online Access:https://www.mdpi.com/2039-4403/14/4/303
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