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Updated: Mar 6, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Tyler S Kaster1, Michael S Martin1, Alexander I F Simpson2
1Dr. Kaster is a Psychiatry Resident, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Mr. Martin is a PhD Candidate, School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada. Dr. Simpson is Chief of Forensic Psychiatry, Centre for Addiction and Mental Health, Toronto, Ontario, Canada. No funding was provided for this research. T.S.K. was awarded the Isaac Sakinofsky Essay Prize in Suicidology from the Centre for Addiction and Mental Health for this work. M.S.M. is currently on unpaid educational leave from the Correctional Service of Canada.
This study applies a life-trajectory suicide model to prisons, identifying two risk paths based on adversity timing. A new screening tool aims to improve suicide risk detection in incarcerated individuals.
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