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Updated: Sep 25, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Developing a system for automated monitoring of psychiatric outpatients: a first step to improve quality
E M Hunkeler1, J R Westphal, M Williams
1Division of Research, Kaiser Permanente Medical Care Program, Northern California, Oakland, USA.
Objective:
To evaluate an automated system of quality monitoring for psychiatric outpatients.
Design:
Cross-sectional study.
Setting:
Large outpatient psychiatry clinic in Kaiser Permanente--Northern California.
Participants:
Approximately 1500 new psychiatric patients and 20 clinicians.
Interventions:
This system gave clinicians data on new patients from validated instruments before their intake interviews, measured outcomes for the depressed and panic-disordered patients, and monitored the clinic's case-mix.
Main Outcome Measures:
Clinic case-mix: Axis II disorders (Personality Disorder Questionnaire--Revised); emotional, social and physical functioning (Health Status Questionnaire 2.0); Axis I symptoms (Symptom Checklist-90); depression and panic disorder (Health Outcomes Institute Modules). Clinician reaction to system (telephone interview).
Results:
The study population was 62.4% female; 73.9% Caucasian; 70% employed; 15.9% had evidence of personality disorder; 63% reduced daily activities because of emotional problems; 18% had depression; 7% had panic disorder. Over 75% of clinicians used the data reports and found them helpful; criticism focused on questionnaire length, inadequate training, numerous false-positives, and insufficient administrative support.
Conclusion:
An automated patient monitoring system can be implemented; clinician involvement needs to be significant; more research is needed to establish the usefulness of standardized data and outcomes management.
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