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Updated: Apr 25, 2026
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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
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[Prediction of psychoses].
1Klinik und Poliklinik für Psychiatrie und Psychotherapie, Klinikum der Universität zu Köln, Kerpener Str. 62, 50924, Köln, Deutschland, joachim.klosterkoetter@uk-koeln.de.
Der Nervenarzt
|August 24, 2014
Summary
Accurate prediction of psychosis onset is crucial for effective early detection and prevention. Combining high-risk criteria enhances predictive power, enabling personalized interventions.
Area of Science:
- Psychiatry and Neuroscience
- Clinical Psychology
Context:
- Early detection and prevention centers for psychosis are increasingly adopting predictive, preventive, and personalized medicine approaches.
- Accurate estimation of individual risk and prediction of psychosis onset are essential for successful primary prevention strategies.
Purpose:
- This article provides an overview of current prediction possibilities for psychosis.
- It reviews recent prediction analyses within the field of clinical high risk for psychosis research.
Summary:
- Previously identified high-risk criteria demonstrate significant predictive power for psychosis.
- The combined use of these criteria, alongside risk stratification and enrichment strategies, further enhances predictive accuracy.
Impact:
- Clinical prediction of psychosis risk enables the implementation of tailored prevention measures.
- Ongoing advancements, including biological brain diagnostics, are further refining these predictive capabilities for improved patient outcomes.
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