Anesthesia and analgesia
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Anesthesia and analgesia · Apr 2024
ReviewTeaching Airway Management Using Virtual Reality: A Scoping Review.
Airway management, a defined procedural and cognitive skillset embracing routine tracheal intubation and emergency airway rescue, is most often acquired through an apprenticeship model of opportunistic learning during anesthesia or acute care residency training. This training engages a host of modalities to teach and embed skill sets but is generally time- and location-constrained. Virtual reality (VR)-based simulation training offers the potential for reproducible and asynchronous skill acquisition and maintenance, an advantage that may be important with restricted trainee work hours and low frequency but high-risk events. ⋯ All studies were single institution initiatives and all reported different protocols and end points using bespoke applications of commercial technology or homegrown technologic solutions. VR-based simulation for airway management currently occurs outside of a formal curriculum structure, only for specific skill sets, and without a training pathway for educators. Medical educators with simulation training and medical professional societies with content expertise have the opportunity to develop consensus guidelines that inform training curricula as well as specialty technology use.
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Anesthesia and analgesia · Apr 2024
Association Between Age- and Sex-Specific Body Mass Index Percentile and Multiple Intubation Attempts: A Retrospective Cohort Analysis.
Obesity distorts airways and slightly complicates intubations in adults, but whether obesity complicates pediatric intubations remains unclear. We, therefore, tested the primary hypothesis that increasing age- and sex-specific body mass index (BMI) percentile is associated with difficult intubation, defined as >1 intubation attempt. ⋯ Age- and sex-specific BMI percentile was not associated with difficult intubation in children between 2 and 18 years of age. As in adults, obesity in children does not much complicate intubation.
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Anesthesia and analgesia · Apr 2024
User-Centered Design of a Machine Learning Dashboard for Prediction of Postoperative Complications.
Machine learning models can help anesthesiology clinicians assess patients and make clinical and operational decisions, but well-designed human-computer interfaces are necessary for machine learning model predictions to result in clinician actions that help patients. Therefore, the goal of this study was to apply a user-centered design framework to create a user interface for displaying machine learning model predictions of postoperative complications to anesthesiology clinicians. ⋯ Incorporating user needs and preferences into the design of a machine learning dashboard results in a display interface that clinicians rate as highly usable. Because the system demonstrates usability, evaluation of the effects of implementation on both process and clinical outcomes is warranted.