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).