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Updated: Aug 16, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Session Introduction: SALUD: Scalable Applications of cLinical risk Utility and preDiction
Pankhuri Singhal1, Yogasudha Veturi, Renae Judy
1Perelman School of Medicine, University of Pennsylvania Philadelphia, PA 19104, USA, singhalp@pennmedicine.upenn.edu.
Abstract:
This PSB 2023 session discusses challenges in clinical implication and application of risk prediction models, which includes but is not limited to: implementation of risk models, responsible use of polygenic risk scores (PGS), and other risk prediction strategies. We focus on the development and use of new, scalable methods for harmonizing and refining risk prediction models by incorporating genetic and non-genetic risk factors, applying new phenotyping strategies, and integrating clinical factors and biomarkers. Lastly, we will discuss innovation in expanding the utility of these prediction models to underrepresented populations. This session focuses on the overarching theme of enabling early diagnosis, and treatment and preventive measures related to complex diseases and comorbidities.
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