Title :
Proposing a taxonomy and model of interruption
Author :
Brixey, Juliana J. ; Walji, Muhammad ; Zhang, Jiajie ; Johnson, Todd R. ; Turley, James P.
Author_Institution :
Univ. of Texas Health Sci. Center, Houston Sch. of Health Inf. Sci., TX, USA
Abstract :
Interruptions not only decrease performance but can also cause human errors that lead to catastrophic events. Interruptions in high-risk industries such as aviation and nuclear power plants have been studied extensively because of catastrophic events such as power plant shut downs and plane crashes. In contrast, healthcare has a limited understanding of interruption despite the frequent occurrence of medical errors; often leading to adverse events and mortality. We reviewed and integrated previously published literature in healthcare to propose a taxonomy and model of interruptions. This taxonomy will help us categorize and understand interruptions in healthcare. The model depicts interrupted task performance and possible error states when resuming an interrupted task.
Keywords :
errors; health care; physiological models; reviews; adverse events; healthcare; interrupted task performance; interruption model; medical errors; mortality; possible error states; review; taxonomy; Computer crashes; Costs; Humans; Information science; Medical services; Power generation; Productivity; Safety; Taxonomy; Telephony;
Conference_Titel :
Enterprise Networking and Computing in Healthcare Industry, 2004. HEALTHCOM 2004. Proceedings. 6th International Workshop on
Print_ISBN :
0-7803-8453-9
DOI :
10.1109/HEALTH.2004.1324514