Journal of clinical anesthesia
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Performing hip or knee arthroplasty as an outpatient surgery has been shown to be operationally and financially beneficial for selected patients. By applying machine learning models to predict patients suitable for outpatient arthroplasty, health care systems can better utilize resources efficiently. The goal of this study was to develop predictive models for identifying patients likely to be discharged same-day following hip or knee arthroplasty. ⋯ Machine learning models may utilize electronic health records to screen arthroplasty procedures for outpatient eligibility. Tree-based models demonstrated superior performance in this study.
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The use of entrustable professional activities (EPAs) as a basis for assessment may bridge the gap between the theory of competency-based education and clinical practice. The purpose of this study was to develop and validate EPAs for United States (US) first-year clinical anesthesia (CA-1) residents for anesthesiology residency programs to use as the basis for curriculum development and workplace assessment. ⋯ This study applied a construct validity lens to EPA development providing assurance that the EPAs adopted are appropriate for use in workplace-based assessment and entrustment decision-making.
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Comment Letter Randomized Controlled Trial
In response to- Effect of ultrasound-guided lung recruitment manoeuvre on perioperative atelectasis during laparoscopy in young infants: A randomised controlled trial.