Analytical Chem JoVE (Open Access) Citable · DOI

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Name: Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Uploaded: 2026-06-17
Duration: 7 min 31 s
Description: Recent studies have shown that an automated, lifespan-inclusive, transdiagnostic, and clinically based, individualized risk calculator provides a powerful ...

DOI: 10.3791/60794-v

What you'll learn

✓ Deploy a real-time psychosis risk detection system using CogStack and EHR data
✓ Configure data ingestion, risk calculation, and automated alerting workflows
✓ Validate and visualize clinical risk predictions in a clinical informatics pipeline

Protocol

We demonstrate how to deploy a real-time psychosis risk calculation and alerting system based on CogStack, an information retrieval and extraction platform for electronic health records.

Difficulty

advanced

Total time

~4–8 hours (system setup and validation; ongoing real-time operation)

Steps

Understand psychosis risk detection system architecture

Review the CogStack platform capabilities, real-time risk calculation methodology, and clinical alerting workflow for electronic health record integration.

▶ 00:04

Ingest and process electronic health record data

Configure data ingestion pipelines to extract and prepare clinical data from EHR systems for downstream risk analysis.

▶ 01:58

Calculate real-time psychosis risk scores

Implement risk calculation algorithms that process ingested EHR data to generate patient-specific psychosis risk predictions.

▶ 03:18

Configure data visualization dashboards

Set up visual interfaces to display risk scores and patient metrics for clinical review and monitoring.

▶ 04:12

Establish automated risk alerting protocols

Configure alert thresholds and notification systems to flag high-risk patients in real-time for clinical intervention.

▶ 04:44

Validate results and alert system performance

Review representative case results, confirm risk calculations, and verify that alerting and visualization functions operate correctly.

▶ 05:24

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