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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
Progression from being at-risk to psychosis: next steps
Jean Addington1, Megan Farris2, Daniel Devoe2
1Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, AB, Canada. jmadding@ucalgary.ca.
Research on psychosis risk has advanced, identifying individuals at clinical high-risk (CHR). Future steps involve addressing methodological issues and population heterogeneity for better prediction and treatment of psychosis progression.
Area of Science:
- Psychiatry
- Neuroscience
- Clinical Psychology
Background:
- Extensive research over 20 years has focused on identifying individuals at risk for psychosis.
- Significant progress has been made in understanding psychosis risk factors and prediction.
Purpose of the Study:
- To provide an updated review of current research on psychosis risk.
- To outline future research directions for understanding the progression from clinical high-risk (CHR) to psychosis.
Main Methods:
- Review of existing research on psychosis risk prediction and treatment.
- Analysis of methodological challenges in current research.
- Discussion of population heterogeneity in clinical high-risk groups.
Main Results:
- Advances in accurate prediction of psychosis risk have been achieved.
- Methodological issues persist, including ascertainment, diagnosis, data-driven selection, and external validation.
- Heterogeneity within the clinical high-risk population requires attention for effective treatment.
Conclusions:
- Future research should prioritize collaborative programs with harmonized criteria and outcomes.
- Increased funding for multisite projects and consortiums is recommended to advance the field.
- Addressing methodological limitations and population heterogeneity is crucial for improving psychosis prediction and treatment.
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