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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Very early interventions in psychotic disorders.
Robinder K Bhangoo1, Cameron S Carter
1Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA 95817, USA. robinder.bhangoo@ucdmc.ucdavis.edu
Identifying at-risk individuals for psychosis during adolescence is crucial for early intervention. Early detection of nonspecific prodromal symptoms can improve patient outcomes and reduce illness burden.
Area of Science:
- Psychiatry
- Neuroscience
- Developmental Psychology
Background:
- Serious psychiatric conditions often emerge during adolescence.
- Initial symptoms are typically nonspecific, complicating early detection.
- Identifying individuals at clinical high risk for psychosis is challenging.
Observation:
- The prodromal phase of psychosis can only be definitively identified in retrospect.
- Prospective monitoring requires identifying individuals who may or may not develop psychosis.
- Nonspecific early symptoms hinder accurate and timely diagnosis.
Findings:
- Accurate detection of at-risk individuals is difficult due to nonspecific early symptoms.
- A significant proportion of individuals identified as at-risk may not develop psychosis (false positives).
- Retrospective classification of the prodromal phase is currently the standard.
Implications:
- Improved detection of at-risk youth offers a critical window for early intervention.
- Earlier intervention can potentially improve long-term outcomes for individuals at risk of psychosis.
- Reducing the burden of serious mental illness through early detection and intervention is a key goal.
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