Related Experiment Video
Updated: Jun 28, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
High-level alerting for rare but critical clinical conditions
Andrew Gettinger1, Kathleen Chaimberg, Brian Spence
1Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Abstract:
We describe our efforts to switch from free-text documentation of a difficult airway in the patient allergy list to a field-defined entry prominently displayed in the electronic record. A survey of relevant physicians' preferred methods of documentation will facilitate clinically useful methods of alerting providers to critical conditions in their patients.
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