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Why is it so difficult to measure the effects of interruptions in healthcare?MEDINFO 2010: Proceedings of the 13th World Congress on Medical Informatics
Document TypeBook chapter
- Medical error,
- Evaluation studies,
- Computer simulation
AbstractInterruptions are a complex phenomenon where multiple variables including the characteristics of primary tasks, the interruptions themselves, and the environment may influence patient safety and workflow outcomes. Observational studies present significant challenges for recording many of the process variables that influence the effects of interruptions. Controlled experiments provide an opportunity to examine the specific effects of variables on errors and efficiency. Computational models can be used to identify the situations in which interruptions to clinical tasks could be disruptive and to investigate the aggregate effects of interruptions.
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Additional InformationISBN of the source publication: 9781607505877
Citation InformationMagrabi, F., Li, S. Y. W., Dunn, A. G., & Coiera E. (2010). Why is it so difficult to measure the effects of interruptions in healthcare? In C. Safran, S. Reti & H. F. Marin (Eds.), MEDINFO 2010: Proceedings of the 13th World Congress on Medical Informatics (pp.784-788). doi: 10.3233/978-1-60750-588-4-784