A Generalized Model for Predicting Postcompletion Errors

Abstract

A postcompletion error is a type of procedural error that occurs after the main goal of a task has been accomplished. There is a strong theoretical foundation accounting for postcompletion errors (Altmann & Trafton, 2002;Byrne & Bovair, 1997). This theoretical foundation has been leveraged to develop a logistic regression model of postcompletion errors based on reaction time and eye movement measures (Ratwani, McCurry, & Trafton, 2008). This study further develops and extends this predictive model by (a) validating the model and the general set of predictors on a new task to test the robustness of the model, and (b) determining which specific theoretical components are most important to postcompletion error prediction.

Situation Awareness Recovery

“…MFG can also be applied to a task like supervisory control, wherein each vehicle represents a separate subgoal that must be perceived and retained in order for the situation to be comprehended and analyzed. MFG has since been used to explain the disruptive effects of a task interruption (Altmann & Trafton, 2007), and it has been used to explain sequence errors (Ratwani & Trafton, 2011; Trafton, Altmann, & Ratwani, 2011).…”

Getting Beyond Interruptive Alerts: Reducing Unintentional Duplicate Orders using a Visual Aid

“…12,13 Interruptive alerts can also disrupt current thought processes, which may lead to other errors. 14 Furthermore, alert fatigue can cause users to disregard important alerts that would have prevented patient harm. [15][16][17][18] Ideally, the cue would be provided just-in-time, before the user makes their selection, thus preventing all of the above negative effects.…”

Assessment of Unintentional Duplicate Orders by Emergency Department Clinicians Before and After Implementation of a Visual Aid in the Electronic Health Record Ordering System

“…7,8 Interruptive alerts can also disrupt thought processes, which may lead to more errors. 9,10,11,12,13 Furthermore, poor EHR design and use factors have been associated with clinician stress and burnout. 14…”