Publications by authors named "James E Morrison"

Background: The selection of applicants for training in any particular surgical program is an imprecise exercise. Despite the abundance of information on particular candidates, many of the fundamental qualities that are associated with success for the surgical trainee cannot be identified by review of the applicants' grades, scores, letters of recommendation, personal statement, or even from the interview process. We sought a method to determine behavior, motivation, and values possessed by applicants that coincided with traits by our current residents who had demonstrated success in our program.

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Background: The selection of residents for any program and their evaluation for success is an inexact science. Errors can prove costly, disruptive, and potentially damaging to training programs, and personal and professional setbacks can occur for resident applicants. A method was sought to determine the intangible characteristics of applicants to a general surgery residency program, particularly an assessment of behavior and motivation.

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Article Synopsis
  • The development and implementation of a 4-year integrated ultrasound curriculum for medical students is reviewed, highlighting various teaching methods and assessment strategies.
  • Results from testing and student surveys indicate that ultrasound is a valuable and well-received tool for enhancing medical education throughout all four years.
  • Key lessons learned during the establishment of the curriculum emphasize the positive impact of ultrasound training on students' learning experiences.
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We performed a retrospective chart review of trauma patients admitted to Palmetto Richland Memorial Hospital and identified 63 cases of adrenal insufficiency along with 65 trauma patient controls. Two statistical models, a neural network and a multiple logistic regression, were developed to predict patients with increased risk of developing adrenal insufficiency. Each model had 11 selected independent variables, along with patient demographic data, to make a probabilistic prediction of patient outcome.

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