Approaching the limits of knowledge: the influence of priming on error detection in simulated clinical rounds.

Elie Razzouk, Trevor Cohen, Khalid Almoosa, Vimla Patel

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Errors are inevitable in all clinical settings, posing substantial risk to patients. Studies have shown detection and correction are essential to error management. This paper documents the use of Opensimulator, a virtual world development platform, to create a virtual Intensive Care Unit where error recovery can be studied in a controlled, yet realistic environment. Subjects participated in rounds presented by computer-generated characters. Errors were embedded in these presentations, and subjects were evaluated for their ability to detect them. Eight subjects were asked to evaluate two cases and answer related knowledge-based questions under two conditions: primed (forewarned of the presence of errors) and un-primed. Subjects frequently failed to detect errors despite having the prerequisite knowledge. Priming significantly improved detection, suggesting a role for interventions that aim to shift clinicians' error detection toward the limits of their knowledge. Such interventions may provide means to decrease adverse events resulting from human error.

Original languageEnglish (US)
Pages (from-to)1155-1164
Number of pages10
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume2011
StatePublished - 2011

ASJC Scopus subject areas

  • Medicine(all)

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