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Updated: Jun 23, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Developing, Implementing, Evaluating Electronic Apparent Cause Analysis Across a Health Care System
Abstract:
An interdisciplinary team developed, implemented, and evaluated a standardized structure and process for an electronic apparent cause analysis (eACA) tool that includes principles of high reliability, human factors engineering, and Just Culture. Steps include assembling a team, describing what happened, determining why the event happened, determining how defects might be fixed, and deciding which defects will be fixed. The eACA is an intuitive tool for identifying defects, apparent causes of those defects, and the strongest corrective actions. Moreover, the eACA facilitates system learning by aggregating apparent causes and corrective action trends to prioritize and implement system change(s).
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