Why is it so difficult to measure the effects of interruptions in healthcare?

Farah Magrabi*, Simon Y.W. Li, Adam G. Dunn, Enrico Coiera

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

9 Citations (Scopus)

Abstract

Interruptions 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.

Original languageEnglish
Title of host publicationMedinfo 2010
Subtitle of host publicationProceedings of the 13th World Congress on Medical Informatics
EditorsC. Safran, S. Reti, H. F. Marin
Place of PublicationAmsterdam
PublisherIOS Press
Pages784-788
Number of pages5
EditionPART 1
ISBN (Electronic)9781607505884
ISBN (Print)9781607505877
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa
Duration: 12 Sep 201015 Sep 2010

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
Volume160
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other13th World Congress on Medical and Health Informatics, Medinfo 2010
CountrySouth Africa
CityCape Town
Period12/09/1015/09/10

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  • Cite this

    Magrabi, 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 (PART 1 ed., pp. 784-788). (Studies in Health Technology and Informatics; Vol. 160). Amsterdam: IOS Press. https://doi.org/10.3233/978-1-60750-588-4-784