Tara N Cohen

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INTRODUCTION This paper examines the reliability of the Human Factors Analysis and Classification System (HFACS) as tool for coding human error and contributing factors associated with accidents and incidents. METHODS A systematic review of articles published across a 13-yr period between 2001 and 2014 revealed a total of 14 peer-reviewed manuscripts that(More)
The reliability of the Human Factors Analysis and Classification System (HFACS) for classifying retrospective observational human factors data in the cardiovascular operating room is examined. Three trained analysts independently used HFACS to categorize observational human factors data collected at a teaching and nonteaching hospital system. Results(More)
OBJECTIVES This investigation explores flow disruptions observed during cardiothoracic surgery and how they serve to disconnect anesthesia providers from their primary task. We can improve our understanding of this disengagement by exploring what we call the error space or the accumulated time required to resolve disruptions. METHODS Trained human factors(More)
The objectives of this study were to identify the frequency and nature of flow disruptions in the operating room with respect to three cardiac surgical team members: anaesthetists; circulating nurses; and perfusionists. Data collected from 15 cases and coded using a human factors taxonomy identified 878 disruptions. Significant differences were identified(More)
INTRODUCTION This article examines the reliability of the Human Factors Analysis and Classification System (HFACS) for classifying observational human factors data collected prospectively in a trauma resuscitation center. METHODS Three trained human factors analysts individually categorized 1,137 workflow disruptions identified in a previously collected(More)
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