Trauma Teams That Train as One Work as One: Invasive Procedure Training in Residency Education.

BACKGROUND: Invasive surgical procedures occur infrequently in an emergency department setting; however, procedural competence is expected from trauma residents. Emergent procedures are challenging to train in a formal manner because of the urgent nature when they present. To supplement education, new and creative teaching tools such as simulation and multidisciplinary training are being used. Our study organized a multidisciplinary simulated learning workshop with surgery and emergency medicine residents for invasive, emergent procedures. MATERIALS AND METHODS: In total, 14 surgical and 36 emergency medicine residents at our institution participated in a simulated learning experience. Ten workshops were organized, with six to seven residents participating in each session. Using a human cadaveric model, all residents were taught by senior-level residents and attendings from both specialties on how to perform uncommonly or anatomically challenging emergent invasive procedures. A pre- and post-laboratory survey was completed by all the residents to assess confidence in performing each of the 13 procedures. RESULTS: All residents (N = 50), who participated in the study, completed pre- and post-laboratory surveys. Comparison of the pre- and post-laboratory confidence levels indicated significant increases in confidence in performing all procedures. Residents stated that this multidisciplinary approach to education in a controlled setting was helpful and fostered a collaborative relationship between both specialties. CONCLUSIONS: Although some surgical procedures remain uncommon in the emergency department, competency is nevertheless expected for appropriate patient care. Using a collaborative simulation-based cadaver laboratory to teach emergent procedures significantly improved residents' confidence while concurrently fostering professional relationships.

Image-based multi-scale mechanical analysis of strain amplification in neurons embedded in collagen gel.

A general multi-scale strategy is presented for modeling the mechanical environment of a group of neurons that were embedded within a collagenous matrix. The results of the multi-scale simulation are used to estimate the local strains that arise in neurons when the extracellular matrix is deformed. The distribution of local strains was found to depend strongly on the configuration of the embedded neurons relative to the loading direction, reflecting the anisotropic mechanical behavior of the neurons. More importantly, the applied strain on the surrounding extracellular matrix is amplified in the neurons for all loading configurations that are considered. In the most severe case, the applied strain is amplified by at least a factor of 2 in 10% of the neurons' volume. The approach presented in this paper provides an extension to the capability of past methods by enabling the realistic representation of complex cell geometry into a multi-scale framework. The simulation results for the embedded neurons provide local strain information that is not accessible by current experimental techniques.