Publications by authors named "Albert J Boquet"

Background: Neurosurgical procedures require meticulous preparation, including extra measures to ensure patient safety and the appropriate setup of the operating room, which must be fully established before the surgeon can initiate the first incision. Neurosurgical delay encompasses the time from anesthesia induction start to when the neurosurgeon makes the first incision.

Methods: 30 neurosurgery procedures were observed randomly.

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Article Synopsis
  • Addressing flow disruptions (FDs) in neurosurgery involves strategies like effective communication, better team coordination, and optimized operating room design to improve procedure flow and safety.
  • In a study observing 30 neurosurgery cases, the most common disruptions were due to coordination (26.25%) and layout issues (26.06%), leading to an average of one disruption every 2.7 minutes.
  • The research emphasizes viewing these disruptions as "threat windows" to identify system weaknesses and preemptively address potential errors before they happen.
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The RN circulator role includes maintaining situational awareness and mitigating risks to patient safety in the OR. Flow disruptions-deviations that threaten the safe and efficient flow of surgery-may contribute to the occurrence of errors and negatively affect safety for patients and health care providers. We used an existing data set to explore the effects of flow disruptions on the RN circulator.

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This prospective investigation describes the process of designing a targeted, data-driven team training aimed at reducing identified process inefficiencies or flow disruptions (FDs) that threaten the optimal delivery of trauma care. Trained researchers observed and classified FDs during 34 trauma cases in a Level II trauma center. Multidisciplinary trauma personnel generated interventions to identified issues using the human factors intervention matrix (HFIX).

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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 data set involving 65 observed trauma care cases using the HFACS framework.

Results: Results revealed that the framework was substantially reliable overall (κ = 0.

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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 revealed that the framework was substantially reliable overall (Study I: k = 0.

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Objectives: Historically, health care has relied on error management techniques to measure and reduce the occurrence of adverse events. This study proposes an alternative approach for identifying and analyzing hazardous events. Whereas previous research has concentrated on investigating individual flow disruptions, we maintain the industry should focus on threat windows, or the accumulation of these disruptions.

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Background: Prior research has indicated that ineffective pilot monitoring has been associated with aircraft accidents. Despite this finding, empirical research concerning pilot monitoring skill training programs is nearly nonexistent. E-learning may prove to be an effective method to foster nontechnical flight skills, including monitoring.

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