Interruptions are frequent in many work domains. Researchers in health care have started to study interruptions extensively, but their studies usually do not use a theoretically guided approach. Conversely, researchers conducting theoretically rich laboratory studies on interruptions have not usually investigated how effectively their findings account for humans working in complex systems such as intensive care units. In the current study, we use the memory for goals theory and prospective memory theory to investigate which properties of an interruption influence how long it takes nurses to resume interrupted critical care tasks. We collected data with a mobile eye tracker in an intensive care unit and developed multiple regression models to predict resumption times. In 55.8% of all interruptions there was a finite-and therefore analyzable-resumption lag. For these cases, the main regression model explained 30.9% (adjusted R 2 ) of the variance. Longer interruptions ( ϭ .36, p Ͻ .001) and changes in physical location due to interruptions ( ϭ .40, p Ͻ .001) lengthened the resumption lag. We also calculated regression models on subsets of the data to investigate the generality of the above findings across different situations. In a further 37.6% of all interruptions, nurses used behavioral strategies that greatly diminished or eliminated individual prospective memory demands caused by interruptions, resulting in no analyzable resumption lag. We introduce a descriptive model that accounts for how nurses' behaviors affect the cognitive demand of resuming an interrupted task. Finally, we discuss how the disruptive effects of interruptions in the intensive care unit could be diminished or prevented.Keywords: interruptions, prospective memory, memory for goals, distributed cognition, intensive careIn the present study, we use theoretical models of interruptions and prospective memory to investigate factors that might make it easier or harder for people to return to an interrupted task. The potentially disruptive effects of interruptions on cognition are well recognized. Interruptions have been examined in aviation (e.g., Dismukes, Young, & Sumwalt, 1998), driving (e.g., Strayer & Johnston, 2001), human-computer interaction (e.g., Iqbal & Horvitz, 2007;McFarlane, 2002), and health care (e.g., Chisholm, Collison, Nelson, & Cordell, 2000;Coiera & Tombs, 1998;Parker & Coiera, 2000). In safety-critical domains, interruptions might contribute to errors and accidents. For example, Westbrook, Woods, Rob, Dunsmuir, and Day (2010b) showed that interruptions increase the chance of medication administration errors.Although studies have investigated interruptions in applied settings, most studies are descriptive. In contrast, in the present study we have aimed for a theoretically motivated causal account. To our knowledge, in health care only one empirical paper on interruptions appears to have used a theoretically motivated approach (for reviews see Biron, Loiselle, & Lavoie-Tremblay, 2009;. In a retrospective analysis of findi...